Head of Engineering - Data Distribution

S&P Global • Washington, DC

4d • $185,000 - $265,000

About The Position

This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners. They are known for their collaborative approach, strong technical expertise, and the high energy and dedication they bring to their work.

At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’re the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji.

Requirements

• 15+ years of engineering experience with 5+ years directly managing and scaling large engineering teams at Director or Head of Engineering level, including experience managing managers and Staff/Principal-level individual contributors
• Deep technical expertise in data platform architecture including Delta Lake and Apache Iceberg internals, with proven ability to guide senior engineers on complex architectural trade-offs and design decisions
• Demonstrated experience leading enterprise data management initiatives including data lineage automation, schema management, data governance, and security implementations at petabyte scale across distributed platforms
• Hands-on experience with cloud data platforms such as AWS services (S3, Glue, Lake Formation, EMR), Databricks Data Intelligence Platform, or similar enterprise-scale data infrastructure technologies
• Proven track record integrating operational data catalogs with enterprise metadata platforms, implementing complex access controls (RBAC/CBAC/ABAC), and managing data security across multi-cloud environments
• Strong leadership and communication skills with experience driving organizational transformation, building high-performance engineering cultures, and partnering effectively with cross-functional teams including Product, Security, and executive leadership

Nice To Haves

• Experience with AI/ML platforms such as Databricks Mosaic AI, Amazon SageMaker, or Amazon Bedrock, with understanding of autonomous AI agent deployment and semantic modeling for LLM grounding
• AWS certifications such as Solutions Architect, Data Analytics, or similar cloud credentials, along with experience in multi-account governance, multi-region deployment strategies, and cost optimization for data-intensive workloads
• Background in enterprise data governance frameworks, compliance requirements, and experience with tools like data.world for enterprise knowledge graphs and metadata management
• Experience partnering with FinOps and cloud platform teams to optimize cloud consumption and platform ROI, with familiarity in multi-cloud data platform strategies spanning various public cloud ecosystems

Responsibilities

• Lead and scale a large, multi-disciplinary engineering organization of 50+ data engineers, ML engineers, and platform developers, including managing managers and staff-level engineers across cross-functional teams
• Drive the strategic architecture and implementation of enterprise data management and governance, integrating Databricks Unity Catalog with enterprise data catalog systems and AWS-native governance services to ensure automated data lineage, security, and accuracy at petabyte scale
• Oversee the development of production-grade autonomous AI systems using Databricks Mosaic AI, ensuring AI agents are grounded in highly governed, accurate data through robust semantic modeling and RAG architectures
• Guide the technical strategy for zero-copy, multi-platform lakehouse architecture leveraging Delta Lake and Apache Iceberg, with deep integration across AWS cloud data and analytics services including S3, Glue, and Lake Formation
• Partner with Product, Security, and executive leadership to translate business and compliance requirements into actionable engineering roadmaps while fostering a high-performance culture of innovation and engineering excellence
• Champion organizational transformation initiatives that position the company at the forefront of enterprise AI and data platform capabilities, directly impacting business growth and operational excellence

Benefits

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• From retail discounts to referral incentive awards—small perks can make a big difference.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed