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CLOUD AMAZE - DW Architect (Practice)
Fa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · United States · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Title | CLOUD AMAZE - DW Architect (Practice) |
| Normalized title | - |
| Department / team | - |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-11 / 2026-06-12 |
| Changed / last seen | 2026-06-19 / 2026-06-23 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | 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 | Fa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Source | 693f06bc-a41a-4f36-9b23-dcfc03ebb3f7 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Job Title: Data & AI Solution Architect — Financials
Location: Boston, MA or Jersey City, NJ
Work mode: Hybrid (3 days onsite must)
Duration: Full-time
Role Summary :
We are seeking highly skilled and experienced Data Practice / Solution Architects to work onsite with our esteemed clients. The ideal candidates will have expertise in designing and implementing cutting-edge data solutions tailored to the client's specific needs. The roles require a deep understanding of cloud platforms, big data technologies, and data architecture principles. The architects will be responsible for driving end-to-end data strategies, ensuring scalability, performance, and reliability of data systems.
Key Responsibilities:
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Design and implement scalable, secure, and high-performance data architectures.
Provide technical leadership and guidance to development teams.
Optimize data pipelines, storage, and processing frameworks for efficiency and cost-effectiveness.
Ensure data governance, security, and compliance standards are met.
Evaluate and recommend tools, technologies, and frameworks based on project needs.
Conduct performance tuning and troubleshooting of data systems.
Stay updated with emerging trends and technologies in cloud and big data ecosystems.
Technical Skills:
Big Data Architect (Spark):
Extensive experience with Apache Spark for big data processing and analytics.
Proficiency in Spark Core, Spark SQL, Spark Streaming, and MLlib.
Knowledge of distributed computing systems and frameworks.
Familiarity with Hadoop ecosystem components such as HDFS, Hive, and YARN.
Expertise in optimizing Spark jobs for performance and scalability.
Designing and implementing data platforms on Azure Could using Snowflake and Databricks
Five years of prior experience in modernizing and migrating legacy data platforms to cloud is a must have experience.
Hands-on experience with Exadata is plus
Experience & Education:
10 - 15 years of experience in designing and implementing highly scalable data lakes, Lakehouse’s.
At least 5 years of experience financial domain
3-5 years of experience with SEI Wealth Management must have experience.
5 plus years of experience in creating data models.
Full job record
| Job ID | 96214c85f19f3d642c80b475a4cbf4d85eb2490d |
| Org ID | 0c280226-a9e3-4450-af67-3d1b36993e95 |
| Source ID | 693f06bc-a41a-4f36-9b23-dcfc03ebb3f7 |
| Board ID | 693f06bc-a41a-4f36-9b23-dcfc03ebb3f7 |
| Provider | oracle_hcm |
| Provider Job Key | 652024 |
| Title | CLOUD AMAZE - DW Architect (Practice) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description Job Title: Data & AI Solution Architect — Financials Location: Boston, MA or Jersey City, NJ Work mode: Hybrid (3 days onsite must) Duration: Full-time Role Summary : We are seeking highly skilled and experienced Data Practice / Solution Architects to work onsite with our esteemed clients. The ideal candidates will have expertise in designing and implementing cutting-edge data solutions tailored to the client's specific needs. The roles require a deep understanding of cloud platforms, big data technologies, and data architecture principles. The architects will be responsible for driving end-to-end data strategies, ensuring scalability, performance, and reliability of data systems. Key Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Design and implement scalable, secure, and high-performance data architectures. Provide technical leadership and guidance to development teams. Optimize data pipelines, storage, and processing frameworks for efficiency and cost-effectiveness. Ensure data governance, security, and compliance standards are met. Evaluate and recommend tools, technologies, and frameworks based on project needs. Conduct performance tuning and troubleshooting of data systems. Stay updated with emerging trends and technologies in cloud and big data ecosystems. Technical Skills: Big Data Architect (Spark): Extensive experience with Apache Spark for big data processing and analytics. Proficiency in Spark Core, Spark SQL, Spark Streaming, and MLlib. Knowledge of distributed computing systems and frameworks. Familiarity with Hadoop ecosystem components such as HDFS, Hive, and YARN. Expertise in optimizing Spark jobs for performance and scalability. Designing and implementing data platforms on Azure Could using Snowflake and Databricks Five years of prior experience in modernizing and migrating legacy data platforms to cloud is a must have experience. Hands-on experience with Exadata is plus Experience & Education: 10 - 15 years of experience in designing and implementing highly scalable data lakes, Lakehouse’s. At least 5 years of experience financial domain 3-5 years of experience with SEI Wealth Management must have experience. 5 plus years of experience in creating data models. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-etqo-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/652024 |
| Apply URL | https://fa-etqo-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/652024 |
| First Seen At | 2026-06-12 11:10:44Z |
| Last Seen At | 2026-06-23 11:16:00Z |
| Last Checked At | 2026-06-23 11:16:00Z |
| Last Changed At | 2026-06-19 11:26:09Z |
| Inactive At | — |
| Source Posted At | 2026-06-11 15:59:49Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-etqo-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-23/2026-06-23T11-15-30-879Z-5873969993d85036587fc4802fa40ce614fce9a8e468e0c1820935fbdc9466e7.json |
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