Director, Engineering Redshift, Analytics Engines

Amazon Redshift is seeking a Director of Engineering to lead the Redshift Engine Team a global organization spanning the United States and Europe. Amazon Redshift is the most widely used cloud data warehouse powering SQL analytics on unified data across Redshift Managed Storage and open data lakes for tens of thousands of customers worldwide. The teams vision: build the best SQL analytics engine for humans and agents over any data.

This is a rare opportunity to lead at the intersection of analytics AI and distributed systems at a massive scale. The team owns the core query processing engine optimization high-performance execution catalog Exabytes of managed storage and leading-edge autonomics and is innovating across serverless scale-up/scale-out automated cluster management AI-driven scaling zero-ETL integrations an integrated data lake query engine and natural-language analytics via Amazon Bedrock Knowledge Bases.

As Director you will own the technical strategy and execution for the engine shape how AI agents interact with Redshift for intelligent query generation and optimization-aware execution lead a globally distributed organization and drive cross-organizational collaboration with partner services including Glue Data Catalog EMR Athena and SageMaker Unified Studio.



Key job responsibilities
Define and drive the long-term technical vision for the Redshift query engine as the industry-leading SQL analytics engine for human users and AI agents alike including how autonomous and agentic workloads interact with the engine for intelligent query generation and optimization-aware execution.
Lead and grow a globally distributed engineering organization across the US and Europe fostering a culture of operational excellence innovation and ownership.
Own the architecture and roadmap for query optimization high-performance execution scalable catalog cost-based planning storage and self-tuning systems including next-generation solutions for transactional data warehousing and elastic query processing over open-format data at scale.
Drive cross-organizational collaboration across partner services (Glue Data Catalog EMR Glue Athena SageMaker Unified Studio) building consensus on shared architecture and delivering outcomes that span team charters.
Champion performance and price-performance leadership across serverless automated cluster management and real-world customer workloads.
Partner with AI/ML and science teams to advance natural language-to-SQL capabilities and integrate generative AI into the analytics experience.
Build and maintain relationships with strategic customers incorporating feedback into the engine roadmap.
Establish engineering best practices mentoring programs and career development frameworks for a high-performing global team.



Bachelors degree in Computer Science Engineering Math Statistics or 12 years equivalent experience
10 years of software engineering experience
10 years leading distributed engineering teams
Experience with large-scale data systems or database technologies



15 years of software engineering experience with 5 years in a senior leadership role (Director or equivalent)
Deep expertise in database internals query processing query optimization or distributed execution engines
Track record delivering complex large-scale infrastructure or platform products at thousands-of-customers scale
Experience leading globally distributed engineering teams across multiple time zones
Demonstrated ability to drive cross-organizational alignment and influence technical direction across partner organizations
Strong understanding of cloud architectures data analytics patterns and data lake/open-format ecosystems (Apache Iceberg Parquet or similar)
Experience with query optimizer design cost-based optimization high-performance execution engines or petabyte-scale workload management
Background in AI/ML-powered systems including large language models agentic architectures or natural language interfaces for data systems
Track record building and shipping serverless or auto-scaling distributed data systems
Experience collaborating across diverse analytics or data platform organizations (e.g. data catalog ETL query federation ML platforms)
Executive presence with excellent written and verbal communication skills able to influence VP and C-level
Published research or patents in databases query processing or related fields


Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA East Palo Alto - 297500.00 - 350000.00 USD annually