About the job
About KKR & Co. Inc.
KKR & Co. Inc. is a global investment firm with expertise in alternative asset management, capital markets, and insurance solutions. The firm manages funds in private equity, credit, and real assets, and works with partners who oversee hedge funds. KKR’s insurance subsidiaries, including Global Atlantic Financial Group, provide retirement, life, and reinsurance solutions. The company emphasizes disciplined investing and long-term growth for its portfolio companies and communities.
Team: ADAPT Engineering
The ADAPT (AI, Data, and Platform Technologies) Engineering team shapes KKR’s core data and AI capabilities. This group designs and supports the firm’s foundational data architecture, building platform-based solutions that drive agility and measurable business results. Their work supports KKR’s global scale and ongoing business transformation.
Role Overview: Lead Data Engineer - Data Platform
Based in Boston, MA, the Lead Data Engineer joins the core ADAPT Engineering team in a hands-on capacity. This position calls for deep experience in modern data engineering, especially with large-scale financial datasets. The role focuses on designing and implementing advanced data engineering solutions that streamline complex data pipelines, apply AI-driven insights, and enable smooth integration across cloud-based databases.
This engineer will define and optimize the technical architecture for KKR’s data structuring, storage, and usage, ensuring high standards for data integrity, performance, and accessibility across the firm.
Main Responsibilities
- Set and lead the enterprise strategy and target-state architecture for Data Explorer, enabling scalable, governed, and user-friendly data discovery, access, sharing, and reuse throughout KKR.
- Develop the long-term vision, design principles, and adoption framework for enterprise data exchange capabilities, covering metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption.
- Act as the senior technical authority for data analyst agents, guiding the development of agentic capabilities.

