Description
You will lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and platform developers. You will provide strategic technical direction for enterprise-scale lakehouse architecture using tools such as Databricks Data Intelligence Platform and AWS cloud services.
Responsibilities and Impact:
- Lead and scale a world-class engineering organization
- Provide strategic technical direction for enterprise-scale lakehouse architecture
- Drive the organization's transition to production-grade autonomous AI systems
- Establish rigorous engineering standards and operational excellence practices
- Oversee enterprise semantic modeling and RAG architecture strategies
- Foster a high-performance engineering culture
Basic Required Qualifications:
- 15+ years of engineering experience with 5+ years directly managing and scaling large engineering teams
- Deep expertise in tools such as Databricks Data Intelligence Platform
- Extensive experience architecting enterprise-scale data platforms on AWS
- Proven technical depth in tools such as Apache Iceberg internals
- Demonstrated ability to build and scale engineering organizations
- Strong leadership and communication skills
Additional Preferred Qualifications:
- AWS and/or Databricks certifications
- Experience with semantic modeling, knowledge graphs, and enterprise data governance frameworks
- Background in LLMOps, model evaluation, and prompt orchestration
- Experience with infrastructure-as-code tools such as Terraform
Compensation/Benefits Information:
- Anticipated base salary range for this position is $185,000 to $265,000
- Eligible for an annual incentive plan and additional S&P Global benefits