3 months ago

Software Engineer - Data Distribution / Data Intelligence

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Last checked: 23 hours agoStatus: Live

Job Summary

Lead engineering role defining the data blueprint for enterprise data exchange, analytics, and AI-powered insights. You’ll design scalable data platforms, govern data assets, and drive cross-functional data solutions across BI, analytics, and operational workflows in a large, matrixed financial services environment.

Location: Boston, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Manager level

Key Responsibilities

•Define and drive the enterprise strategy and target-state architecture for Data Explorer as the enterprise data exchange, ensuring scalable, governed 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.

Pay and Benefits

Salary: USD 180,000 - 210,000 annually

Key Requirements

•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.
•Strong ownership mindset with a track record delivering enterprise-scale platform strategy and architecture across multiple domains.
•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.
•Strong proficiency in SQL and Python, with broad technical fluency across analytics platforms, data architecture, workflow technologies, and modern integration patterns.

Experience:10+ yearsData platformsAnalytics engineeringEnterprise architectureWorkflow technologyIntelligent automation

Education:Bachelor's

Skills:LeadershipMentoringCommunicationInfluencingProblem-solving

Languages:En

Tech Stack:SQLPythonAIData platformsWorkflow orchestrationCloud

Company Brief

KKR

Global investment firm providing alternative asset management and capital markets services across private equity, credit, real assets, and hedge funds, serving institutional and private clients worldwide.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1976

Website LinkedIn

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KKR