Lead Data Engineer

PFI Innovation Centre India is an exciting new innovation center. We’re building a future that helps people live better lives longer – and we’re looking for bold thinkers and team players to help us do it.

Here, you’ll tackle complex challenges, collaborate with brilliant minds across the globe, and grow your career while helping millions achieve financial security.

A PURPOSE DRIVEN COMPANY – 150 YEARS

While the PFI Innovation Centre brand is new to India, you’ll be a part of the Prudential Financial, Inc. family. Founded in Newark, NJ, we serve 50 million customers across more than 50 countries. With $1.334 trillion in assets, we’re a global leader in institutional asset management. The 2nd largest life insurer in the US and the 9th largest institutional global asset manager.

At the PFI Innovation Centre India, you’ll find high-performance culture that’s flexible, collaborative, and grounded in respect. We engage with candor, take calibrated risks, and hold ourselves accountable – always focused on delivering for our customers. It’s the standard we choose every day as we grow, perform, and win as one team. We offer valuable leadership, mentoring and learning opportunities, paired with flexibility and support to help you thrive.

Whether you’re just starting out or ready to take your next step, we’ll help you grow with purpose and do the best work of your career.

Are you ready to shape enterprise data products that make trusted information accessible to analytics, applications, and AI? As a Lead Data Engineer, you will lead the architecture and development of virtualized data products and semantic layers using Denodo. You will establish standards and governance, guide engineering teams, and partner across platforms to create scalable, reusable, AI-ready data capabilities.

• Lead the architecture and development of enterprise virtual data products using Denodo virtualization and semantic modeling.
• Define and govern canonical business models, ontologies, business glossaries, semantic layers, naming conventions, and development standards.
• Design complex joins, unions, aggregations, transformations, and reusable semantic patterns for reporting, analytics, APIs, and AI agents.
• Optimize Denodo performance through caching, query pushdown, aggregation strategies, and virtualization best practices.
• Provide technical leadership to Data Engineers, AI Engineers, LLMOps Engineers, and platform teams while enabling API-first integration across AWS, analytics, catalog, AI, and enterprise platforms.

• 10+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering.
• 5+ years of Denodo implementation experience, including enterprise semantic layers and virtualized data products.
• Strong knowledge of Denodo, AWS services such as Lambda and Glue, ETL, APIs, data modeling, ontologies, data governance, and API design.
• Experience with Generative AI, agentic AI frameworks, and LLMOps.
• Strong stakeholder-engagement, consulting, and technical-leadership skills.

Skills: Denodo , AWS , Data Engineering