Home › Companies › BrassRing 25633 / 5439 › Principal Consultant
Principal Consultant
BrassRing 25633 / 5439 · Hybrid · Active · IBM Kenexa BrassRing
Job facts
| Field | Value |
|---|---|
| Company | BrassRing 25633 / 5439 |
| Title | Principal Consultant |
| Normalized title | - |
| Department / team | - |
| Location | About Us: Infosys is a global leader in next-generation digital services and consulting . We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, Canada |
| Work model | Hybrid / Hybrid |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | IBM Kenexa BrassRing |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from BrassRing 25633 / 5439. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through IBM Kenexa BrassRing. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in About Us: Infosys is a global leader in next-generation digital services and consulting . We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | BrassRing 25633 / 5439 |
| Source | 0e748c41-a187-4d01-b50f-a25125e6422e |
| ATS provider | IBM Kenexa BrassRing |
Description
About Us:
Infosys is a global leader in next-generation digital services and consulting . We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovative ecosystem.
Recognized as the #1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence.
▶️ Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Role Description:
A Data Architect is responsible for designing, creating, deploying, and managing an organization's data architecture.
They define how data is stored, consumed, integrated, and managed across systems.
The role ensures scalability, performance, and security of enterprise data platforms.
They align data strategy with business goals and enable analytics, reporting, and AI/ML use cases.
This role requires strong expertise in modern data platforms, cloud, and data governance.
Location: Sydney, Australia
Salary: AUD 150,742 – 171,215 Annual Gross
Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes
Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to connect with your recruiter to learn more about how this works in practice.
Roles and Responsibilities:
T Design and implement enterprise-level data architecture solutions Define data models (conceptual, logical, physical) for business requirements Lead data platform architecture across cloud and on-prem systems Ensure data integration across multiple sources (ETL/ELT pipelines) Establish best practices for data governance, security, and compliance Collaborate with stakeholders to align data strategy with business needs Architect scalable solutions for big data and real-time processing Evaluate and recommend tools, technologies, and frameworks Define data storage solutions (data lakes, warehouses, lakehouses) Ensure high data quality, consistency, and performance optimization Mentor engineering teams and provide technical leadership Support analytics, BI, and AI/ML initiatives with robust data design
Skill / Competencies / Experience:
ESSENTIAL
Strong expertise in data architecture and data modeling Hands-on experience with cloud platforms (Azure/AWS/GCP) Experience with ETL/ELT design and data pipeline architecture Knowledge of data warehousing and big data frameworks Strong understanding of data governance and data security
PREFERRED
Experience with Databricks / Spark / Delta Lake Knowledge of real-time processing (Kafka, Streaming frameworks) Exposure to AI/ML data pipelines and feature engineering Experience in industry domains (Telecom, Banking, etc.) Familiarity with data mesh / modern data architecture patterns
ADDITIONAL
Education & Certifications 14+ years of overall IT experience Extensive experience in data engineering and architecture roles Bachelor’s or Master’s degree in Computer Science / IT / related field Preferred certifications: Azure Data Architect / AWS Data Analytics Databricks Certified Associate/Professional TOGAF (optional but valuable)
Tools & Technologies Cloud Platforms: Azure (ADF, Synapse), AWS (Redshift, Glue), GCP Big Data: Spark, Hadoop, Databricks Data Warehousing: Snowflake, Redshift, Azure Synapse Data Integration: Informatica, Talend, Data Factory Streaming & BI: Kafka, Power BI, Tableau In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well-being (AU) Income Protection Insurance Paid Parental and Volunteer leaves Employee Assistance Program (EAP) Flexible working arrangements (hybrid, reviewed case-by-case basis) Health Insurance Discount and Well-being Program Access to Fitness and Gym Memberships Salary packaging and novated leasing Our recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.
Hear from our recruiter on their experience working with Infosys as an Employer
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email [email protected] or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.
“All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.”
Full job record
| Job ID | 210d8d3a223d61c7ab9afbf78de40ca1d0e8ea49 |
| Org ID | 13d943b8-b105-4254-9f0f-f09ef59e9f04 |
| Source ID | 0e748c41-a187-4d01-b50f-a25125e6422e |
| Board ID | 0e748c41-a187-4d01-b50f-a25125e6422e |
| Provider | ibm_kenexa_brassring |
| Provider Job Key | 2246194 |
| Title | Principal Consultant |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | Canada |
| Region | — |
| City | About Us: Infosys is a global leader in next-generation digital services and consulting . We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25633&siteid=5439&jobid=2246194 |
| Apply URL | https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25633&siteid=5439&jobid=2246194 |
| First Seen At | 2026-05-29 19:50:32Z |
| Last Seen At | 2026-06-06 19:09:04Z |
| Last Checked At | 2026-06-06 19:09:04Z |
| Last Changed At | 2026-05-29 22:27:10Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | 2026-05-27 00:00:00Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ibm_kenexa_brassring/board=p:25633|s:5439/date=2026-06-06/2026-06-06T19-08-33-988Z-38dab12bc2166fa9357c3187be920420c3c3394b96b1ebe3701b72650271b5e7.json |
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"Value": "<span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><b><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">About Us:</span></span></span></b><br><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Infosys is a global leader in next-generation digital services and consulting<i>.</i> We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovative ecosystem. </span></span></span><br><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Recognized as the #1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence.</span></span></span><br><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" segoe=\"\" ui=\"\" emoji\",sans-serif\"=\"\">▶️</span></span></span><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys</span></span></span><br><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Visit <a href=\"http://www.infosys.com/\" style=\"color:#467886; text-decoration:underline\">www.infosys.com</a> to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.</span></span></span><br><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\"><b><u>Role Description:</u></b><br><br>A Data Architect is responsible for designing, creating, deploying, and managing an organization's data architecture. <br>They define how data is stored, consumed, integrated, and managed across systems. <br>The role ensures scalability, performance, and security of enterprise data platforms. <br>They align data strategy with business goals and enable analytics, reporting, and AI/ML use cases. <br>This role requires strong expertise in modern data platforms, cloud, and data governance. <br><b>Location: Sydney, Australia </b><br><b>Salary: AUD </b></span></span></span><b><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">150,742</span></span></span></b><b><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">– </span></span></span></b><b><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">171,215 </span></span></span></b><b><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Annual Gross</span></span></span></b><br><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes</span></span></span><br><b><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to connect with your recruiter to learn more about how this works in practice.</span></span></span></b><br><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\"><b><u>Roles and Responsibilities:</u></b></span></span></span><br><b><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">T</span></span></span></b></span></span></span><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Design and implement enterprise-level data architecture solutions </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Define data models (conceptual, logical, physical) for business requirements </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Lead data platform architecture across cloud and on-prem systems </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Ensure data integration across multiple sources (ETL/ELT pipelines) </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Establish best practices for data governance, security, and compliance </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Collaborate with stakeholders to align data strategy with business needs </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Architect scalable solutions for big data and real-time processing </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Evaluate and recommend tools, technologies, and frameworks </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Define data storage solutions (data lakes, warehouses, lakehouses) </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Ensure high data quality, consistency, and performance optimization </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Mentor engineering teams and provide technical leadership </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Support analytics, BI, and AI/ML initiatives with robust data design </span></span></span></span></span></span></span></li></ul><br><br><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Skill / Competencies / Experience: </span></span></span></span></span></span><br><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">ESSENTIAL </span></span></span></span></span></span><br> <ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Strong expertise in data architecture and data modeling </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Hands-on experience with cloud platforms (Azure/AWS/GCP) </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Experience with ETL/ELT design and data pipeline architecture </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Knowledge of data warehousing and big data frameworks </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Strong understanding of data governance and data security </span></span></span></span></span></span></span></li></ul><br><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">PREFERRED </span></span></span></span></span></span><br> <ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Experience with Databricks / Spark / Delta Lake </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Knowledge of real-time processing (Kafka, Streaming frameworks) </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Exposure to AI/ML data pipelines and feature engineering </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Experience in industry domains (Telecom, Banking, etc.) </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Familiarity with data mesh / modern data architecture patterns </span></span></span></span></span></span></span></li></ul><br><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">ADDITIONAL </span></span></span></span></span></span><br><br><br><br><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Education & Certifications </span></span></span></span></span></span><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">14+ years of overall IT experience </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Extensive experience in data engineering and architecture roles </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Bachelor’s or Master’s degree in Computer Science / IT / related field </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Preferred certifications: </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Azure Data Architect / AWS Data Analytics </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Databricks Certified Associate/Professional </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">TOGAF (optional but valuable) </span></span></span></span></span></span></span></li></ul><br><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Tools & Technologies </span></span></span></span></span></span><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Cloud Platforms: Azure (ADF, Synapse), AWS (Redshift, Glue), GCP </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Big Data: Spark, Hadoop, Databricks </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Data Warehousing: Snowflake, Redshift, Azure Synapse </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Data Integration: Informatica, Talend, Data Factory </span></span></span></span></span></span></span></li></ul><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Streaming & BI: Kafka, Power BI, Tableau </span></span></span></span></span></span></span></li></ul><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><b><u><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well-being (AU)</span></span></span></u></b></span></span></span><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Income Protection Insurance</span></span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Paid Parental and Volunteer leaves</span></span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Employee Assistance Program (EAP)</span></span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Flexible working arrangements (hybrid, reviewed case-by-case basis)</span></span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Health Insurance Discount and Well-being Program</span></span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Access to Fitness and Gym Memberships</span></span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:12pt\"><span style=\"tab-stops:list .5in\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Salary packaging and novated leasing</span></span></span></span></span></span></span></li></ul><span style=\"font-size:12pt\"><span style=\"line-height:115%\"><span style=\"font-family:Aptos,sans-serif\"><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">Our <b><u>recruitment and selection process</u></b><u> </u>is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.</span></span></span><br><br><span lang=\"EN-AU\" style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\"><a href=\"https://www.linkedin.com/posts/infosys_meetyourinfyrecruiter-forwardwithinfosys-activity-7176110979536039936-ez_P/?utm_source=share&utm_medium=member_desktop\" style=\"color:#467886; text-decoration:underline\">Hear from our recruiter on their experience working with Infosys as an Employer</a></span></span></span><br><span style=\"font-size:11.0pt\"><span style=\"line-height:115%\"><span style=\"font-family:\" arial\",sans-serif\"=\"\">At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email <u>[email protected]</u> or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.<br><br>Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.<br><br>“All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.”</span></span></span></span></span></span><br> ",
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"IsChildQuestion": false,
"selectedOptions": null,
"IsParentQuestion": false,
"ParentQuestionId": 0,
"QuestionDescription": null,
"ActualValueFromSolar": null,
"SelectedOptionsFromSavedSearch": null
}
],
"SavedDate": null,
"NextApplyDate": null,
"SavedDateTime": null,
"NoOfDaysToExpire": 0,
"NoOfHoursToExpire": 0,
"CurrentSubmissions": 0,
"isSocialReferralJobRestricted": false
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/210d8d3a223d61c7ab9afbf78de40ca1d0e8ea49?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/13d943b8-b105-4254-9f0f-f09ef59e9f04JSONGET https://api.bluedoor.sh/job-postings/v1/sources/0e748c41-a187-4d01-b50f-a25125e6422eJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/210d8d3a223d61c7ab9afbf78de40ca1d0e8ea49/eventsJSON