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Data Architect

Fa Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1 · Boston, MA, United States; Boston-Lafayette, Boston, MA, US · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

Field	Value
Company	Fa Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1
Title	Data Architect
Normalized title	-
Department / team	Technical Product Development
Location	Boston, MA, United States
Work model	-
Employment type	Full Time
Salary	-
Status	active
ATS provider	Oracle Recruiting Cloud / Fusion HCM
Posted / first seen	2026-03-03 / 2026-05-31
Changed / last seen	2026-05-31 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Fa Ewmy 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
City jobs	Active postings in Boston.	Open
Department jobs	Active postings in Technical Product Development.	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 Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1
Source	9cb4e1d4-7adc-40f1-8607-71cf3ca7a1ea
ATS provider	Oracle Recruiting Cloud / Fusion HCM

Description

Description We are seeking an experienced Cloud Native AWS Data Architect to lead the design and implementation of modern data platforms and analytics solutions for the insurance industry. The ideal candidate will bring strong expertise in AWS data services, big data processing, data modeling, enterprise analytics, and cloud-native architectures . This role requires a hands-on technical leader who can drive data architecture decisions , mentor engineering teams, and ensure delivery of secure, scalable, cost-optimized, and high-performance data solutions supporting reporting, dashboards, advanced analytics, and data products. Responsibilities Lead the architecture, design, and implementation of cloud-native data platforms — including ingestion, storage, processing, metadata management, governance, and analytics enablement. Define and own data architecture standards , including patterns for data lakes, lakehouse, data warehousing, data marts , and scalable analytics solutions on AWS. Collaborate with product management, business stakeholders, and cross-functional teams to translate business requirements into data products and analytics solutions . Drive domain-driven data modeling , including canonical data models, dimensional models, and entity relationships aligned to business domains. Design and implement scalable data pipelines (batch and streaming) using AWS and modern big-data frameworks (e.g., Spark, EMR, Glue, Athena, Step Functions ). Architect data solutions leveraging S3-based Data Lake/Lakehouse patterns using open formats like Parquet / Iceberg / Delta (where applicable) . Build and govern enterprise analytics ecosystems , including semantic layer design, KPI definitions, and reusable curated datasets for BI and downstream consumers. Design and optimize data warehouses and analytical query platforms using Amazon Redshift (RA3/Serverless), Athena, and federated query patterns . Ensure robust data quality, lineage, observability, and monitoring , integrating with tools/services such as CloudWatch, Dynatrace, data pipeline metrics, and automated validation checks. Implement security best practices in data architecture including IAM, encryption (KMS), row/column-level security, PII handling, data masking, and regulatory compliance controls. Familiar with version-controlled pipelines, CI/CD automation, environment promotion, and infrastructure-as-code (Terraform/CloudFormation/CDK). Architect event-driven and near-real-time analytics solutions using services such as Kafka/MSK, Kinesis, SQS/SNS , and streaming ingestion frameworks. Conduct proof-of-concept initiatives to evaluate emerging AWS services and tools that improve performance, cost, and developer productivity. Mentor engineering and analytics teams on architecture best practices, query performance optimization, modeling standards, and scalability patterns. Qualifications Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or related field; Master’s preferred. 8+ years of progressive experience in data engineering / analytics engineering / platform engineering, with 3+ years in a Data Architect / AWS Data Architecture leadership role. Proven experience designing and implementing AWS-native analytics platforms , data lakes/lakehouse, and enterprise-scale BI/analytics architectures. Strong hands-on expertise with AWS data services including S3, Glue, Athena, Redshift, EMR, Lake Formation, RDS/Aurora , and orchestration tools like Step Functions / Airflow / MWAA. Experience with big data processing using Spark / PySpark , and modern data engineering approaches (partitioning, compaction, incremental processing, CDC patterns). Deep proficiency in SQL , performance tuning, and scalable design for analytical workloads. Strong understanding of data modeling , metadata/catalog strategies, and data governance concepts. Strong understanding of multi-tenant architectures and secure data isolation strategies for analytics workloads. Familiarity with Agile/Scrum methodologies and experience collaborating across product, engineering, and data teams. Knowledge of infrastructure-as-code tools such as Terraform, CloudFormation, or CDK . Strong communication skills, ability to influence stakeholders, and ability to drive architecture across multiple teams. Preferred Skills Expertise building scalable S3-based Data Lakes / Lakehouse architectures and open table formats ( Apache Iceberg / Delta Lake / Hudi ). Strong experience with Amazon Redshift (RA3 / Serverless) including performance tuning, workload management, Spectrum, and cost optimization. Proven ability to design and implement data pipelines using AWS Glue, EMR/Spark, Athena, Step Functions including batch and event-driven ingestion patterns. Experience integrating RDS / Aurora (PostgreSQL/MySQL) into analytics ecosystems, including replication/CDC and OLTP-to-analytics data flows. Familiarity with BI platforms such as Power BI, Tableau, QuickSight, Looker , and semantic modeling approaches. Understanding of data governance practices including data classification, stewardship, lineage, and access controls #LI-MV2 Company For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events. Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice

Full job record

Job ID	b4c9f07d395ef9231d83b5e3de8b662c9140e599
Org ID	ef4e6582-3ec3-4844-91ac-45b5f4967882
Source ID	9cb4e1d4-7adc-40f1-8607-71cf3ca7a1ea
Board ID	9cb4e1d4-7adc-40f1-8607-71cf3ca7a1ea
Provider	oracle_hcm
Provider Job Key	2607
Title	Data Architect
Normalized Title	—
Status	active
Active	yes
Location Text	Boston, MA, United States; Boston-Lafayette, Boston, MA, US
Department	Technical Product Development
Team	—
Employment Type	full_time
Workplace Type	—
Remote Policy	—
Country	United States
Region	MA
City	Boston
Salary Raw	Description We are seeking an experienced Cloud Native AWS Data Architect to lead the design and implementation of modern data platforms and analytics solutions for the insurance industry. The ideal candidate will bring strong expertise in AWS data services, big data processing, data modeling, enterprise analytics, and cloud-native architectures . This role requires a hands-on technical leader who can drive data architecture decisions , mentor engineering teams, and ensure delivery of secure, scalable, cost-optimized, and high-performance data solutions supporting reporting, dashboards, advanced analytics, and data products. Responsibilities Lead the architecture, design, and implementation of cloud-native data platforms — including ingestion, storage, processing, metadata management, governance, and analytics enablement. Define and own data architecture standards , including patterns for data lakes, lakehouse, data warehousing, data marts , and scalable analytics solutions on AWS. Collaborate with product management, business stakeholders, and cross-functional teams to translate business requirements into data products and analytics solutions . Drive domain-driven data modeling , including canonical data models, dimensional models, and entity relationships aligned to business domains. Design and implement scalable data pipelines (batch and streaming) using AWS and modern big-data frameworks (e.g., Spark, EMR, Glue, Athena, Step Functions ). Architect data solutions leveraging S3-based Data Lake/Lakehouse patterns using open formats like Parquet / Iceberg / Delta (where applicable) . Build and govern enterprise analytics ecosystems , including semantic layer design, KPI definitions, and reusable curated datasets for BI and downstream consumers. Design and optimize data warehouses and analytical query platforms using Amazon Redshift (RA3/Serverless), Athena, and federated query patterns . Ensure robust data quality, lineage, observability, and monitoring , integrating with tools/services such as CloudWatch, Dynatrace, data pipeline metrics, and automated validation checks. Implement security best practices in data architecture including IAM, encryption (KMS), row/column-level security, PII handling, data masking, and regulatory compliance controls. Familiar with version-controlled pipelines, CI/CD automation, environment promotion, and infrastructure-as-code (Terraform/CloudFormation/CDK). Architect event-driven and near-real-time analytics solutions using services such as Kafka/MSK, Kinesis, SQS/SNS , and streaming ingestion frameworks. Conduct proof-of-concept initiatives to evaluate emerging AWS services and tools that improve performance, cost, and developer productivity. Mentor engineering and analytics teams on architecture best practices, query performance optimization, modeling standards, and scalability patterns. Qualifications Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or related field; Master’s preferred. 8+ years of progressive experience in data engineering / analytics engineering / platform engineering, with 3+ years in a Data Architect / AWS Data Architecture leadership role. Proven experience designing and implementing AWS-native analytics platforms , data lakes/lakehouse, and enterprise-scale BI/analytics architectures. Strong hands-on expertise with AWS data services including S3, Glue, Athena, Redshift, EMR, Lake Formation, RDS/Aurora , and orchestration tools like Step Functions / Airflow / MWAA. Experience with big data processing using Spark / PySpark , and modern data engineering approaches (partitioning, compaction, incremental processing, CDC patterns). Deep proficiency in SQL , performance tuning, and scalable design for analytical workloads. Strong understanding of data modeling , metadata/catalog strategies, and data governance concepts. Strong understanding of multi-tenant architectures and secure data isolation strategies for analytics workloads. Familiarity with Agile/Scrum methodologies and experience collaborating across product, engineering, and data teams. Knowledge of infrastructure-as-code tools such as Terraform, CloudFormation, or CDK . Strong communication skills, ability to influence stakeholders, and ability to drive architecture across multiple teams. Preferred Skills Expertise building scalable S3-based Data Lakes / Lakehouse architectures and open table formats ( Apache Iceberg / Delta Lake / Hudi ). Strong experience with Amazon Redshift (RA3 / Serverless) including performance tuning, workload management, Spectrum, and cost optimization. Proven ability to design and implement data pipelines using AWS Glue, EMR/Spark, Athena, Step Functions including batch and event-driven ingestion patterns. Experience integrating RDS / Aurora (PostgreSQL/MySQL) into analytics ecosystems, including replication/CDC and OLTP-to-analytics data flows. Familiarity with BI platforms such as Power BI, Tableau, QuickSight, Looker , and semantic modeling approaches. Understanding of data governance practices including data classification, stewardship, lineage, and access controls #LI-MV2 Company For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events. Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice
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Source URL	https://fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/2607
Apply URL	https://fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/2607
First Seen At	2026-05-31 18:04:34Z
Last Seen At	2026-06-06 11:42:22Z
Last Checked At	2026-06-06 11:42:22Z
Last Changed At	2026-05-31 18:04:34Z
Inactive At	—
Source Posted At	2026-03-03 16:55:37Z
Source Updated At	—
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In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.</p>\n<p>We’re 7,000 people strong.&nbsp; We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.</p>\n<p>&nbsp;<b>Verisk Businesses</b></p>\n<p><a href=\"https://www.verisk.com/insurance/capabilities/underwriting/\" target=\"_blank\" style=\"margin-top:0px; margin-bottom:0px\" rel=\"nofollow\">Underwriting Solutions</a>&nbsp;— provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision</p>\n<p><a href=\"https://www.verisk.com/insurance/capabilities/claims/\" target=\"_blank\" style=\"margin-top:0px; margin-bottom:0px\" rel=\"nofollow\">Claims Solutions</a>&nbsp;— supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences</p>\n<p><a href=\"https://www.verisk.com/property-estimating-solutions/\" target=\"_blank\" style=\"margin-top:0px; margin-bottom:0px\" rel=\"nofollow\">Property Estimating Solutions</a>&nbsp;— offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient</p>\n<p><a href=\"https://www.verisksequel.com/\" target=\"_blank\" rel=\"nofollow\">Specialty Business Solutions</a>&nbsp;— provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance</p>\n<p><a href=\"https://www.verisk.com/solutions/catastrophe-risk-solutions/\" target=\"_blank\" rel=\"nofollow\">Catastrophe and Risk Solutions</a>&nbsp;— provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.</p>\n<p><a href=\"https://www.verisk.com/verisk-marketing-solutions/\" target=\"_blank\" style=\"margin-top:0px; margin-bottom:0px\" rel=\"nofollow\">Marketing Solutions</a>&nbsp;— delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement</p>\n<p><a href=\"https://www.verisk.com/insurance/life-insurance/\" target=\"_blank\" style=\"margin-top:0px; margin-bottom:0px\" rel=\"nofollow\">Life Insurance Solutions</a>&nbsp;– offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.</p>\n<p><a href=\"https://www.maplecroft.com/\" target=\"_blank\" style=\"margin-top:0px; margin-bottom:0px\" rel=\"nofollow\">Verisk Maplecroft</a>&nbsp;— provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger</p>\n<p>Verisk Analytics is an equal opportunity employer.</p>\n<p>Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.</p>\n<p>All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.</p>\n<p><a href=\"https://www.verisk.com/company/careers/\" target=\"_blank\" rel=\"nofollow\">https://www.verisk.com/company/careers/</a></p>\n<p>Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.</p>\n<p><a href=\"https://www.verisk.com/49041b/siteassets/media/downloads/verisk-global-employee-privacy-notice.pdf\" target=\"_blank\" rel=\"nofollow\">Verisk Employee Privacy Notice</a></p>",
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    "ExternalQualificationsStr": "<ul><li><span data-teams=\"true\">Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or related field; Master’s preferred.</span></li><li><span data-teams=\"true\"><strong>8+ years</strong> of progressive experience in data engineering / analytics engineering / platform engineering, with <strong>3+ years</strong> in a <strong>Data Architect / AWS Data Architecture leadership</strong> role.</span></li><li><span data-teams=\"true\">Proven experience designing and implementing <strong>AWS-native analytics platforms</strong>, data lakes/lakehouse, and enterprise-scale BI/analytics architectures.</span></li><li><span data-teams=\"true\">Strong hands-on expertise with AWS data services including <strong>S3, Glue, Athena, Redshift, EMR, Lake Formation, RDS/Aurora</strong>, and orchestration tools like Step Functions / Airflow / MWAA.</span></li><li><span data-teams=\"true\">Experience with big data processing using <strong>Spark / PySpark</strong>, and modern data engineering approaches (partitioning, compaction, incremental processing, CDC patterns).</span></li><li><span data-teams=\"true\">Deep proficiency in <strong>SQL</strong>, performance tuning, and scalable design for analytical workloads.</span></li><li><span data-teams=\"true\">Strong understanding of <strong>data modeling</strong> , metadata/catalog strategies, and data governance concepts.</span></li><li><span data-teams=\"true\">Strong understanding of <strong>multi-tenant architectures</strong> and secure data isolation strategies for analytics workloads.</span></li><li><span data-teams=\"true\">Familiarity with Agile/Scrum methodologies and experience collaborating across product, engineering, and data teams.</span></li><li><span data-teams=\"true\">Knowledge of infrastructure-as-code tools such as <strong>Terraform, CloudFormation, or CDK</strong>.</span></li><li><span data-teams=\"true\">Strong communication skills, ability to influence stakeholders, and ability to drive architecture across multiple teams.</span></li></ul><hr><p><span data-teams=\"true\"><strong>Preferred Skills</strong></span></p><ul><li><span data-teams=\"true\">Expertise building scalable <strong>S3-based Data Lakes / Lakehouse</strong> architectures and open table formats (<strong>Apache Iceberg / Delta Lake / Hudi</strong>).</span></li><li><span data-teams=\"true\">Strong experience with <strong>Amazon Redshift (RA3 / Serverless)</strong> including performance tuning, workload management, Spectrum, and cost optimization.</span></li><li><span data-teams=\"true\">Proven ability to design and implement <strong>data pipelines</strong> using <strong>AWS Glue, EMR/Spark, Athena, Step Functions&nbsp;</strong>including batch and event-driven ingestion patterns.</span></li><li><span data-teams=\"true\">Experience integrating <strong>RDS / Aurora (PostgreSQL/MySQL)</strong> into analytics ecosystems, including replication/CDC and OLTP-to-analytics data flows.</span></li><li><span data-teams=\"true\">Familiarity with BI platforms such as <strong>Power BI, Tableau, QuickSight, Looker</strong>, and semantic modeling approaches.</span></li><li><span data-teams=\"true\">Understanding of <strong>data governance</strong> practices including data classification, stewardship, lineage, and access controls&nbsp;</span></li></ul><p>&nbsp;</p><p><span style=\"background-color:rgb(255,255,255);color:rgba(0,0,0,0.6);font-family:-apple-system, system-ui, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, &quot;Helvetica Neue&quot;, &quot;Fira Sans&quot;, Ubuntu, Oxygen, &quot;Oxygen Sans&quot;, Cantarell, &quot;Droid Sans&quot;, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Segoe UI Symbol&quot;, &quot;Lucida Grande&quot;, Helvetica, Arial, sans-serif;\"><span style=\"-webkit-text-stroke-width:0px;display:inline !important;float:none;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">#LI-MV2</span></span></p>",
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