Data Engineer, Data Platform - Distribution

 

TEAM OVERVIEW

The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR's technological strategy, architecting and supporting the firm's foundational data and AI capabilities. This team is recognized as a key enabler for global scale and business transformation, driving excellence by evolving technology into robust, platform-based solutions that enhance agility and deliver material business impact.

POSITION SUMMARY

KKR is seeking a Lead Engineer to join the core ADAPT Engineering team. This is a pivotal, hands-on technical leadership role requiring deep technical expertise in modern data engineering and a proven ability to derive critical insights from complex, large-scale financial data. The successful candidate will be instrumental in designing and constructing world-class data engineering capabilities that efficiently process massive data pipelines, leverage state-of-the-art AI-powered insights and document extraction, and integrate seamlessly across diverse cloud-powered databases.

This role requires defining the technical blueprint for how KKR structures, stores, and leverages data to power its AI and investment platforms, ensuring data integrity, performance, and accessibility for critical firm-wide services.

KEY RESPONSIBILITIES

• Define and drive the enterprise strategy and target-state architecture for Data Explorer as the enterprise data exchange, ensuring scalable, governed, and intuitive data discovery, access, sharing, and reuse across the organization.
• Establish the long-term vision, design principles, and adoption model for enterprise data exchange capabilities, including metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption.
• Act as the senior technical authority for data analyst agents, shaping how agentic capabilities are embedded into the analytics ecosystem to improve analyst productivity, decision support, and governed access to enterprise data.
• Lead the design and implementation of enterprise data solutions for business analytics, operational workflows, enterprise data sharing, and agent-enabled analytics
• Drive reusable architecture and control patterns for workflow orchestration across business domains, enabling scalability, resilience, transparency, and measurable operational improvement.
• Own the enterprise roadmap for BI rationalization, defining the target-state reporting and analytics ecosystem and reducing fragmentation across tools, metrics, dashboards, and user experiences.
• Lead cross-functional transformation efforts to standardize KPI definitions, semantic layers, reporting patterns, and platform usage models in order to improve consistency, governance, adoption, and cost efficiency.
• Partner with senior engineering, architecture, analytics, product, and business leaders to prioritize strategic investments, resolve complex cross-platform issues, and align delivery to the firm’s long-term data and analytics vision.
• Mentor senior engineers and technical leaders, raising the standard for architecture quality, platform thinking, and enterprise-scale execution while influencing decisions well beyond immediate team boundaries.
• Evaluate emerging technologies and market trends in analytics, workflow automation, agentic systems, and enterprise data platforms, translating them into practical architectural direction and strategic platform investments.
• Serve as a trusted advisor on highly complex initiatives, with accountability for shaping decisions that influence multiple platforms, teams, and business functions across the firm.

QUALIFICATIONS<