Data Engineer, Data Platform - Distribution at Careers at KKR

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

210000.0

Posted On

17 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Enterprise Architecture, Python, SQL, Workflow Orchestration, Business Intelligence, Data Governance, AI-enabled Analytics, Agentic Systems, Metadata Strategy, Data Modeling, Cloud Databases, Technical Leadership, Strategic Planning, Stakeholder Management, Process Automation

Industry

Financial Services

Description

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 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 Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; advanced degree preferred. 10+ years of experience in data platforms, analytics engineering, enterprise architecture, workflow/process technology, or intelligent automation, with significant experience operating as a senior enterprise technical leader. Strong ownership mindset, with a proven track record defining and delivering enterprise-scale platform strategy and architecture across multiple domains, with demonstrated success influencing outcomes across large, matrixed organizations. Deep experience with enterprise data exchange, catalog, marketplace, or self-service data platforms, including metadata strategy, governance, lineage, access controls, interoperability, and adoption at scale. Demonstrated expertise in AI-enabled analytics and agentic systems, including designing governed, explainable, and auditable patterns for analyst productivity and enterprise decision support. Strong experience architecting or modernizing business process management (BPM) and workflow orchestration capabilities, with an understanding of how process design, controls, automation, and data platforms must operate together. Proven success leading BI modernization and rationalization efforts, including platform consolidation, semantic standardization, KPI harmonization, and enterprise reporting transformation. Strong proficiency in SQL and Python, with broad technical fluency across analytics platforms, data architecture, workflow technologies, and modern integration patterns. Experience setting architecture direction and technical standards that are adopted across teams, rather than limited to a single application, function, or delivery group. Demonstrated ability to operate at both strategic and deep technical levels, translating ambiguous business problems into durable platform capabilities and architectural decisions. Strong executive communication and influencing skills, with the ability to align senior stakeholders, challenge legacy approaches, and drive change across organizational boundaries. Proven ability to mentor senior talent, shape technical culture, and elevate engineering and architectural rigor across a broad organization. #LI-ONSITE This is the expected annual base salary range for this Boston-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Base Salary Range $180,000—$210,000 USD 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. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned. 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. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.

Responsibilities

The Lead Engineer will define the enterprise strategy and architecture for data exchange, metadata governance, and AI-powered analytics platforms. They will also lead cross-functional transformation efforts to standardize KPI definitions and reporting patterns while mentoring senior engineering talent.