Amazon is looking for a Senior Data Engineering Manager to join the AWS Product BI, to lead the team responsible for building and maintaining end to end analytics solutions that drive business decisions. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, EBS, S3, Lambda and IoT.
Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI and DE is critical to our success. To help build this growing team, you would be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on highly respected business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history!

The ideal candidate will have a track record of building teams that span both traditional and big data engineering competencies and analytics functions. You will be a technical leader in our team, and own the technical architecture of our BI and Data platforms. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen.

Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, an ability to work effectively with cross-functional teams, and be able to lead a team to innovate and think big, while diving deep to meet our bar for quality and accuracy.

Key job responsibilities
- Lead and develop a high-performing team of Data Engineers and BIEs, driving their growth in both traditional and AI-powered solutions
- Design and implement scalable data and GenAI solutions to serve diverse business needs
- Designing, developing, troubleshooting, evaluating, deploying, and documenting data management and business intelligence systems, enabling stakeholders to manage the business and make effective decisions.
- Building secure, available, scalable, stable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.
- Drive adoption of GenAI technologies (LLMs, AI agents) while maintaining robust data engineering practices
- Partner with leadership to identify opportunities for AI integration in existing data products
- Build secure, scalable, and cost-effective solutions using modern data infrastructure and AI capabilities
- Establish best practices for responsible AI development while ensuring data governance
- Foster collaboration across Business Intelligence, Data engineering, Software development and Science teams to enable design and delivery of scalable Analytics and Engineering solutions
- Champion innovation while maintaining operational excellence
- Influence strategic planning and technology roadmap decisions

A day in the life

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.