Head of Engineering - Inbound Data

S&P Global
New York, Washington DC
Full timeUSD 185,000 - 265,000 annuallyFunction: Administration & Executive AssistanceExperience: 15+ yearsSkills: ["Leadership","Communication","Organizational transformation","Strategic technical guidance","Collaboration"]

Lead and scale a 100+ person engineering organization focused on inbound data transformation and replacement of legacy technical debt. Own enterprise lakehouse architecture on Databricks and AWS, driving production-grade autonomous AI systems and measurable business value. Set engineering standards and operational excellence using SLOs, error budgets, incident management, and infrastructure-as-code. Oversee semantic modeling and RAG architecture with governance, lineage, and auditability while partnering with Product and FinOps.

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FursaFursa
S&P Global
S&P Global
1 month ago

Head of Engineering - Inbound Data

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Source: Company careers pageValidated by: Fursa AI
Last checked: 40 days agoStatus: Live

Job Summary

Lead and scale a 100+ person engineering organization focused on inbound data transformation and replacement of legacy technical debt. Own enterprise lakehouse architecture on Databricks and AWS, driving production-grade autonomous AI systems and measurable business value. Set engineering standards and operational excellence using SLOs, error budgets, incident management, and infrastructure-as-code. Oversee semantic modeling and RAG architecture with governance, lineage, and auditability while partnering with Product and FinOps.
Location: New York, Washington DC
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Director level

Key Responsibilities

  • •Lead and scale a world-class engineering organization (100+ engineers) including managing managers and Staff/Principal-level contributors, while driving hiring, retention, and talent development.
  • •Provide strategic technical direction for enterprise-scale lakehouse architecture on Databricks and AWS to deliver performant, cost-effective, interoperable data foundations.
  • •Drive the transition to production-grade autonomous AI systems using Databricks AI stack components (MLflow, Feature Store, Vector Search, Model Serving).
  • •Establish engineering standards and operational excellence practices (SLOs, error budgets, incident management) and deliver reliable platforms using infrastructure-as-code such as Terraform and Databricks Asset Bundles.
  • •Oversee enterprise semantic modeling and RAG architecture strategies with Unity Catalog-governed data assets, access controls, lineage tracking, and auditability to prevent hallucinations.

Pay and Benefits

Salary: USD 185,000 - 265,000 annually
Perks:Health InsurancePaid LeaveLearning Budget

Key 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 transforming Staff/Principal engineers.
  • •Deep expertise in Databricks Data Intelligence Platform (Unity Catalog, Delta Lake internals, Delta Live Tables, Databricks Workflows, MLflow, Mosaic AI) with the ability to guide complex platform trade-offs.
  • •Extensive experience architecting enterprise-scale data platforms on AWS, including Amazon S3, AWS Glue, Amazon EMR, AWS Lake Formation, multi-region deployment strategies, and security patterns (IAM, VPC, KMS).
  • •Proven technical depth in Apache Iceberg internals, schema evolution, and cross-platform table strategies, plus hands-on experience deploying autonomous AI and production RAG pipelines.
  • •Demonstrated ability to build and scale engineering organizations (20+ to 100+ engineers) while establishing engineering standards, agile delivery practices, and operational SLAs for data and AI products.
Experience:15+ yearsData engineeringMachine learningCloudAutonomous AI
Skills:LeadershipCommunicationOrganizational transformationStrategic technical guidanceCollaboration
Certifications:AWS certificationDatabricks certification
Tech Stack:DatabricksDatabricks Data Intelligence PlatformUnity CatalogDelta LakeDelta Live TablesDatabricks WorkflowsMLflowMosaic AIAWSAmazon S3AWS GlueAmazon EMRAWS Lake FormationIAMVPCKMSApache IcebergRAGTerraformDatabricks Asset Bundles

Company Brief

S&P Global
Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.
Industry: Data Infrastructure
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: 1917
WebsiteLinkedIn