Careers at KKR

Data Platform Engineer

Boston, MA

Sponsorship not specifiedDetected 15 days ago

Distributed SystemsPlatform EngineeringMachine LearningData EngineeringMLOpsAccessibilityLeadership

About the role

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's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group.

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.
Mentor junior engineers, raising the bar on engineering excellence including design rigor, implementation quality, and operational ownership across the team.
KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds.

4+ years of experience in data engineering, distributed systems, or platform engineering, with meaningful experience operating at a senior technical leadership level.
Platform mindset with proven track record designing and delivering enterprise-scale data platforms or lakehouse ecosystems with strong emphasis on scalability, reliability, governance, and developer enablement.
Deep hands-on experience with Apache Iceberg and modern open table formats, including data modeling, partitioning, performance tuning, metadata management, and operational best practices.
Strong understanding of distributed compute architectures, including stateful and stateless processing models, workload orchestration, fault tolerance, and performance optimization.
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.
Demonstrated experience implementing event-driven and streaming architectures using modern messaging and data movement patterns.
Experience enabling or extending AI/ML platform capabilities, including pipeline design, feature/data preparation workflows, and integration with model development or production ML systems.
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Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline
advanced degree preferred.

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.

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.

This listing is sourced directly from Careers at KKR's careers page and normalized into a canonical job model.