AVP Data Engineer & Architect

$157,000 - $200,000/Yr

MetLife - Cary, NC

posted 4 months ago

Full-time - Senior
Cary, NC
Insurance Carriers and Related Activities

About the position

This role is for Assistant Vice President - Data Engineer & Architect in our Global Data and Analytics organization. We are in search of a seasoned and strategic-minded data engineer to support data modernization efforts globally at MetLife. In this role, you will leverage your strong technical expertise in data engineering, data platforms, analytics, technology design and architecture to simplify, modernize our data ecosystem while enabling data for AI and self-service across MetLife. Your expertise will be instrumental in driving efficiencies, reducing complexity, and enhancing interoperability across our data systems and platforms. This role demands a strategic thinker with a knack for collaborating with diverse stakeholders, influencing decision-making, and delivering pragmatic solutions. As a subject matter expert, you will possess strong technical knowledge and understanding of the core concepts behind Cloud data platforms, open-source data frameworks, BI/Analytics, Data Warehousing, Data Lake, ETL, etc. You will lead the architecture, design, development, and deployment of cutting-edge solutions to support a modern scalable data ecosystem, as well as emerging Generative AI technologies. Your responsibilities will include providing oversight and collaborating on data pipeline implementations to ensure governance, quality, and observability. You will also offer technical guidance and mentorship to team members, including conducting code reviews and supporting the building of prototypes and proof of concepts. Working closely with the wider product and engineering leadership team, you will develop simplification and modernization product and platform roadmaps, championing scalability and performance. You will be tasked with developing pragmatic solutions that address immediate needs while laying the foundation for long-term goals. Staying updated with the latest industry trends and emerging technologies will be crucial to your success in this role.

Responsibilities

  • Act as a subject matter expert with strong technical knowledge and understanding of the core concepts behind Cloud data platforms, open-source data frameworks, BI/Analytics, Data Warehousing, Data Lake, ETL etc.
  • Lead the architecture, design, development, and deployment of cutting-edge solutions to support a modern scalable data ecosystem, as well as emerging Generative AI technologies.
  • Provide oversight and collaborate on data pipeline implementations to ensure governance, quality, and observability.
  • Offer technical guidance and mentorship of team members including conducting code reviews and supporting the building of prototypes and proof of concepts.
  • Work closely with the wider product and engineering leadership team to develop simplification and modernization product and platform roadmaps, championing scalability and performance.
  • Develop pragmatic solutions addressing immediate needs while laying foundation for long term goals.
  • Stay updated with the latest industry trends and emerging technologies.

Requirements

  • Bachelor's degree in computer science, or related field
  • 15+ years of experience designing, building and supporting large scale modern data platforms in Big data on Prem & Cloud
  • Strong SQL, Scala and Python experience
  • 7+ years' experience with Distributed data / computing tools (Hadoop, Hive, Databricks/Synapse spark, Kafka) and real-time data and streaming applications (Event hubs, Azure Functions etc)
  • 5+ years' experience developing NoSQL-based data solutions, preferably Cosmos DB
  • Experience designing, implementing and deploying ETL/ELT pipelines, data lake house (medallion) architectures and metadata driven frameworks
  • Expert level knowledge in cloud computing platforms such as Azure
  • Strong data migration experience, including automation and tooling
  • Experience developing and deploying Machine Learning (ML) models
  • Excellent communication skills, both written and oral with the ability to articulate technical concepts to non-technical stakeholders internally and externally
  • Influencing key stakeholders (CIO, Business, DnA) to achieve business goals and align to the overall data strategy
  • Demonstrated ability to think strategically, prioritize initiatives based on business impact, and drive execution in alignment with organizational objectives.

Nice-to-haves

  • Knowledge and experience in generative AI and RAG architectures
  • Experience in data governance tools such as Unity Catalog or Purview

Benefits

  • Comprehensive health plan that includes medical/prescription drug and vision
  • Dental insurance
  • No-cost short- and long-term disability
  • Company-paid life insurance
  • Legal services
  • Retirement pension funded entirely by MetLife
  • 401(k) with employer matching
  • Group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance
  • Employee Assistance Program (EAP) and digital mental health programs
  • Parental leave
  • Volunteer time off
  • Tuition assistance
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