Principal Data Architect & Data Modeler

Role Overview

This Director level Data Architect plays a critical role in the data and analytics life cycle, significantly contributing to the architecture and design of data and analytics solutions. The role requires a strong technical background in both traditional and modern data management, engineering, data modeling, visualization, Salesforce, and cloud platforms. It is an individual‑contributor position expected to be highly technical.

• Design end‑to‑end data architecture for data hubs, data products, and Salesforce data from source systems to consumption via Salesforce, web applications, and reporting & analytics solutions.
• Solve complex problems using data and advanced technologies.
• Own and approve data models for data domains within the U.S. Group Benefits business.
• Design data pipelines for analytical and operational needs.
• Ideate, solution‑design, and lead the building of reusable data frameworks for the enterprise.
• Lead POCs to evaluate new technologies, data products, Salesforce products, and solutions as needed.
• Provide oversight for ongoing initiatives, ensuring 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 and 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, including Data Governance, Data Quality, Data Modeling, Enterprise Architecture, Data Science, Dev Ops, and BI & insights.
• Independently lead design, solutioning, and estimations.

• 8+ years of overall related experience.
• Bachelor’s degree in computer science, information technology, or an equivalent qualification.
• Experience in data architecture (traditional – e.g., Oracle & SQL Server; modern – e.g., 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, Hive.
• Exposure to Azure Data Factory, Synapse, and/or Databricks.
• Experience with data warehouses, data marts, and 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 Event Hub and Azure Functions, Azure Data Factory, Synapse, and Databricks.
• Dev Ops practices:
  Git, Azure Dev Ops, CI/CD pipelines.
• Unix shell scripting, Kafka, Mongo
  
  DB, NiFi, containerization.

Hybrid role requiring a minimum of 3 days per week in office. Salary range: $130,000 - $208,950. The role may also be eligible for annual short‑term incentive compensation. All incentives and benefits are subject to the applicable plan terms.

U.S. benefits include comprehensive health, dental, vision, prescription drug coverage, short‑ and long‑term disability, company‑paid life insurance, legal services, a retirement pension, 401(k) with employer matching, group discounts on voluntary insurance, pet, critical illness, hospital indemnity, accident insurance, Employee Assistance Program, digital mental health programs, parental leave, volunteer time off, tuition assistance, and more.

Met Life is a leading financial services company recognized on Fortune’s list of the “World’s Most Admired Companies,” Fortune World’s 25 Best Workplaces™, and the Fortune 100 Best Companies to Work For®.

Met Life is an Equal Opportunity Employer. All employment decisions are made without regard to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law.

If you need an accommodation due to a disability, please email us at  This information will be held in confidence and used only to determine an appropriate accommodation for the application process. Met Life maintains a drug‑free workplace.