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COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. 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 Data Platform Engineer to join the core ADAPT Engineering team in Boston. 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.  This is an onsite role, with expectations to be in our Boston offices 4 days per week. KEY RESPONSIBILITIES     Lead the architecture, buildout, and modernization of the firm’s unified data fabric, establishing scalable patterns for data access, interoperability, governance, and productization across business and technology teams.   Own the design and evolution of Iceberg-based data platform capabilities, including data ingestion, egress, data replication, data streaming, performance optimization, data lifecycle management, and adoption standards for analytical and operational use cases. Define and implement the platform’s compute architecture across stateful, stateless, and distributed processing layers, balancing performance, resiliency, scalability, and cost efficiency. Design, implement and drive the adoption of event-driven architecture patterns for real-time ingestion, data movement, and system integration, ensuring low-latency, reliable, and observable data flows. Extend core platform capabilities to support the firm’s AI/ML ecosystem, including curated datasets, feature-ready pipelines, training and inference data services, and scalable integration points for model development and deployment. Translate business and engineering priorities into a clear technical roadmap, making sound architecture decisions and sequencing platform investments to maximize long-term value. Serve as the senior engineering lead across one or more strategic platform domains, partnering closely with application engineering, enterprise architecture, data consumers, and machine learning stakeholders. Establish and enforce engineering standards for data quality, observability, lineage, governance, security, and operational excellence across batch and streaming environments.