Lead Data Engineer

Role Value Proposition

This team is at the core of Actuarial IT’s Legacy Modernization valuation process and reporting transformation initiatives, leading the design and implementation of modern, AI-enabled architectures. Its mission is to power advanced analytics, business intelligence, and agentic solutions through scalable, secure, and high-performance platforms. By promoting best practices in data governance, performance optimization, and AI-driven data engineering, the team delivers real-time insights and predictive analytics that create tangible business value.

Join Met Life as a Lead Data Engineer and help shape the future of data modernization. In this role, you’ll design and implement AI-driven data architectures that power advanced analytics, business intelligence, and predictive insights. Collaborate with global teams to build scalable, secure, and high-performance platforms that transform legacy systems into cutting-edge solutions driving real business value.

The Lead Full Stack Software Engineer is responsible for building, optimizing, and maintaining ETL/ELT pipelines for large, complex datasets, ensuring compliance with data standards and best practices. Institutionalize best practices and accelerate solution delivery through reusable frameworks, prototypes, and innovation initiatives.

To modernize legacy systems and build scalable, AI-enabled data intelligence actuarial valuation platforms that support Met Life’s digital transformation strategy.

This role advances Met Life’s purpose by delivering Actuarial solutions using AI-driven data engineering solutions that enable smarter decisions, better customer experiences, and a more confident future.

This is an exciting opportunity to lead data modernization efforts that transform how Met Life leverages information. You’ll design AI-driven architectures, enable real-time analytics, and deliver predictive insights that shape strategic decisions and improve customer experiences. This role offers the chance to make a tangible impact on business performance while working with cutting-edge technologies in a collaborative, global environment.

Success in this role requires strong expertise in modern data engineering and analytics skills to drive collaboration and innovation. The Lead Data Engineer is responsible for designing scalable, AI-enabled data platforms and ensuring robust data governance across enterprise systems. You’ll collaborate closely with actuaries, data scientists, business analysts, and cloud engineering teams in an environment where every contribution is respected, and every perspective is heard.

• Lead the design and implementation of modern, AI-enabled data engineering solutions that power advanced analytics and business intelligence.
• Create scalable, secure, and high-performance data solutions that enable real-time insights and predictive analytics.
• Oversee data governance, quality, and compliance across enterprise platforms to ensure integrity and trust.
• Manage end-to-end data engineering processes, including performance optimization and cloud migration strategies.
• Develop innovative data pipelines and frameworks that support actuarial modeling, reporting, and advanced analytics.
• Coordinate with actuaries, data scientists, business analysts, and technology teams to deliver integrated, impactful solutions.

• Bachelor’s or Master’s degree in Computer Science, or a related field (or equivalent experience).
• 8+ years of experience in data engineering and architecture for enterprise-scale platforms.
• Expertise in cloud platforms (Azure Databricks) to design and deploy scalable data architectures and solutions.
• Strong expertise in data technologies such as Apache Spark, along with proficiency in data pipeline tools for building robust ETL processes, and hands‑on experience with Databricks features, including Unity Catalog and/or AI/BI Genie.
• Strong knowledge of SQL, Python, and modern data modeling techniques to optimize performance and enable advanced analytics.
• Collaborative mindset with the ability to work across actuarial, analytics, and technology teams in…