Job Description
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 team"s 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.
Numbers & Facts
| Location | East Palo Alto, CA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles