Director, Engineering Redshift, Analytics Engines
Core
Lead the Redshift query engine team to build the best SQL analytics engine for humans and AI agents, optimizing distributed systems and autonomous workloads.
Role type
Director of Engineering (Distributed Systems & Analytics Engine)
Builds
Core query processing engine, high-performance execution, catalog, Exabytes of managed storage, and AI-driven autonomics.
Domain
Cloud Data Warehousing, Distributed Systems, AI/ML Integration
Deliverable
production ML models | product features
Required skills
Distributed systems architecture, Query optimization, Database internals, Cloud architecture, Global team leadership, Cross-organizational collaboration, AI/ML system integration, Serverless infrastructure design, Cost-based planning, Natural language interfaces for data
Preferred skills
Petabyte-scale workload management, Agentic architectures, Large language models, Open-format data ecosystems (Apache Iceberg, Parquet), Published research in databases, Executive presence
Technologies
Amazon Redshift, Amazon Bedrock, Glue Data Catalog, EMR, Athena, SageMaker Unified Studio, Apache Iceberg, Parquet
Responsibilities
Define long-term technical vision for the Redshift query engine including agentic workloads; Lead and grow a globally distributed engineering organization; Own architecture for query optimization, high-performance execution, and self-tuning systems; Drive cross-organizational collaboration with partner services; Champion performance and price-performance leadership; Partner with AI/ML teams to advance natural language-to-SQL capabilities; Build relationships with strategic customers; Establish engineering best practices and mentoring programs.
Seniority
Director, hands-on IC with strategic leadership
