Hiring: Head of Engineering - Inbound Data Company: S&P Global Location: Centreville, VA Job Posted Time: 2026-09-10 10:42:41 Target Skills & Keywords : AWS, Agile, CI/CD, Capital Markets, Databricks, Delta Lake, EMR, Feature Store, IAM, Iceberg, MLflow, RAG, S3, SageMaker, Terraform, VPC About the job Experience: •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 guiding Staff/Principal-level individual contributors through organizational transformation Required Skills: •Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and platform developers, including managing managers and Staff/Principal-level engineers while driving hiring, retention, and talent development strategies •Provide strategic technical direction for enterprise-scale lakehouse architecture using Databricks Data Intelligence Platform (Unity Catalog, Delta Lake, Delta Live Tables, Mosaic AI) and AWS cloud services, ensuring highly performant, cost-effective, and interoperable data foundations •Strategically drive organization's transition to production-grade autonomous AI systems, leveraging Databricks AI stack including MLflow, Feature Store, Vector Search, and Model Serving to deliver measurable business value beyond proof-of-concept implementations •Establish rigorous engineering standards and operational excellence practices including SLOs, error budgets, incident management, and infrastructure-as-code using tools such as Terraform and Databricks Asset Bundles for reliable platform delivery •Oversee enterprise semantic modeling and RAG architecture strategies, ensuring AI systems are grounded in Unity Catalog-governed data assets with proper access controls, lineage tracking, and auditability to prevent hallucinations •Foster a high-performance engineering culture rooted in psychological safety, continuous learning, and rapid experimentation while partnering with Product, FinOps, and executive leadership to translate business goals into actionable technical roadmaps •(This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $185,000 to $265,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. •In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. Qualifications: •AWS and/or Databricks certifications with experience partnering with FinOps and cloud platform teams to optimize cloud consumption, performance, and platform ROI across multi-cloud data platform strategies •Background in LLMOps, model evaluation, and prompt orchestration with familiarity integrating AWS AI/ML services such as Amazon SageMaker and Amazon Bedrock into broader enterprise AI platform strategies •About S&P Global Dow Jones Indices •We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!