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About the Role

KKR is seeking a Data Engineer to lead the design and construction of world-class data engineering capabilities for the Human Capital domain. This hands-on technical leadership role requires deep expertise in modern data engineering and a proven ability to derive critical insights from complex, sensitive people data. The role ensures data integrity, performance, accessibility, and the confidentiality and governance demanded by sensitive workforce, compensation, and performance data.

Responsibilities

Lead the Human Capital Data Engineering function and set the strategic direction for the design, modernization, and scaling of people data platforms, pipelines, and reporting capabilities across the employee lifecycle.
Own and drive the multi-year data engineering roadmap for Human Capital, establishing a consolidated people data platform and semantic models.
Establish the target-state architecture for people data, including scalable data models, ingestion frameworks, data pipelines, and analytics-ready platforms.
Partner with Human Capital leadership and Human Capital Engineering to align data engineering initiatives with the firm's people strategy and business priorities.
Oversee the integration of complex internal and third-party data sources across the HC technology stack, ensuring strong controls around data quality, reconciliation, lineage, and operational resilience.
Lead the modernization of legacy HC data environments and reporting processes by introducing scalable, cloud-aligned, and highly governed engineering patterns.
Build, lead, and develop a high-performing team of data engineers and technical leads, fostering strong execution, talent development, engineering discipline, and a culture of accountability and innovation.
Establish and enforce best practices for data architecture, security, access models, and platform governance, with particular attention to confidentiality and global data privacy requirements.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline; advanced degree preferred.
12+ years of experience in data engineering, data architecture, or related technology roles, including significant experience leading teams and delivering large-scale enterprise data platforms.
Deep experience designing and scaling data models, ETL/ELT pipelines, and analytics platforms that support complex business processes and cross-functional consumption.
Proven track record of leading enterprise data modernization programs, including data warehouse transformation, pipeline re-architecture, cloud migration, and operating model improvement.
Expertise in modern data engineering and platform technologies, including SQL, Python, cloud-based data ecosystems, orchestration tools, and warehouse or lakehouse architectures.
Hands-on familiarity with integrating best-of-breed HC / enterprise platforms into governed enterprise data environments via APIs, event streams, and iPaaS integration patterns.
Strong understanding of data governance, controls, lineage, security, and auditability requirements, including global employment and data privacy regulations.
Excellent communication and executive presence, with the ability to translate complex technical concepts into business value and to influence senior stakeholders.

Skills

SQL
Python
Cloud-based data ecosystems
Orchestration tools
Warehouse or lakehouse architectures
APIs
Event streams
iPaaS integration patterns
Data governance
Data controls
Data lineage
Data security
Auditability

Location

New York

Work Type

Full-time

Experience Level

12+ years of experience
Significant experience leading teams
Experience delivering large-scale enterprise data platforms

Education Level

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline
Advanced degree preferred

Salary/Compensations

$230,000—$275,000 USD

Benefits

Discretionary bonus based on individual and team performance

About the Company

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.
KKR's Technology team is responsible for building and supporting the firm's technological foundation including a globally distributed infrastructure, information security, and the application and data platforms.
The team drives a culture of technology excellence across the firm through efficient workflow automation, democratization of data through modern data and collaboration platforms, and research and development of Generative AI based tools and services.
Technology is regarded as a key business enabler at KKR and is an important accelerator to drive towards global scale creation and business process transformation.
The Technology team consists of highly technical and business-centric technologists with the ability to form strong partnerships across all of our businesses.

Equal Opportunity

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.