Principal Data Architect & Data Modeler

• Design and solution end to end data architecture for data hubs/data products and Salesforce data all the way from source systems to consumption via Salesforce web applications and reporting & analytics solutions.
• Solve complex problems using data and advanced technologies.
• Own/Approve data models for data domains within the US Group Benefits business.
• Design data pipelines for analytical/operational needs.
• Ideate Solution and lead to building reusable data frameworks for enterprise.
• Lead POCs to evaluate new technologies Data products Salesforce products and solutions as needed.
• Provide oversight for ongoing initiatives and ensure adherence to defined architecture quality security and compliance guidelines policies and standards.
• Build optimize and troubleshoot ETL/ELT pipelines to ingest and store large volumes of structured and unstructured data for batch/real time processing.
• Define and develop data standards guidelines patterns and recommendations to be used across the organization.
• Collaborate with multiple partners from Business Technology Operations and D&A capabilities (Data Governance Data Quality Data Modeling Enterprise Architecture Data science DevOps BI & insights).
• Independently lead design solutioning & estimations.

• 8+ years of overall related experience.
• Bachelor's degree in computer science information technology or equivalent educational qualification.
• Data architecture (traditional - examples include Oracle & SQL Server + modern - examples include AWS & Azure) and knowledge of Salesforce data architecture patterns.
• Data Modeling for OLTP & OLAP systems using various data modeling techniques.
• ETL pipeline design and development; solutioning and estimation.
• Knowledge of data quality and governance practices.
• Knowledge of BI Tools (Tableau Power BI etc).
• Experience with Big Data and Cloud Frameworks: Apache Spark Hadoop and Hive.
• Exposure and knowledge of the following: Azure data factory Synapse and/or Databricks.
• Data Warehouses data marts data lakes.
• Data integration strategies using APIs and ETL tools.
• Expertise in core data management processes.

• Exposure to Gen AI technology and tools
• Performance tuning optimization and data quality validation
• Real-time and batch data processing streaming pipelines with Spark.
• Banking Financial Services and Insurance domain knowledge
• Experience with EventHub and Azure functions Azure data factory Synapse and Databricks.
• DevOps practices: Git Azure Dev Ops CI/CD pipelines
• Unix shell scripting Kafka MongoDB Nifi containerization.

What We Do

We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife making the world a better place is All Together Possible.

Why Work With Us

At MetLife you’ll be working for a company whose purpose is to help customers throughout their life’s journey and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.

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