The role involves managing a team focused on building innovative systems capable of Classification, protecting, and enriching SDO data at scale for AI and data analytics use cases while raising the bar on global customer trust.
Key Responsibilities:
1. Lead and develop engineering teams while providing mentorship and leadership on complex technology issues
2. Own the full technology lifecycle including development, operations, and systems depreciation
3. Drive both technology vision and business vision for the team
4. Guide software and database engineers in determining appropriate strategies
Required Qualifications:
1. 5+ years of software development experience and 3+ years of people management experience
2. Strong technical background with proven ability to execute both strategically and tactically
3. Demonstrated experience working with cross-functional teams and exceptional problem-solving skills
4. Customer-focused mindset with ability to lead teams handling complex software problems at the architectural level
The role aligns with BDT's core tenets of protecting data privacy, security, and compliance as the first priority, while maintaining data quality and timeliness of insights.
The successful candidate will contribute to BDT's vision of providing trustworthy, intuitive, and cost-efficient solutions for Amazon's growing analytics needs.
Key job responsibilities
In this role, you will be responsible for:
* Building, maintaining, and organizing your team
* Defining your technical strategy and product roadmap
* Defining, measuring, and reporting on your key performance and operational excellence metrics
* Recruiting and retaining top talent
* Driving clarity in highly ambiguous technical environments
* Developing long-term technical roadmaps
* Guiding and coaching developers
* Managing projects effectively
* Communicating effectively with both technical and non-technical audiences
* Motivating your team to achieve results in a fast-paced environment
A day in the life
A day in the life of this role would be a good mix of managing multiple programs, focus on long term, managing operational health of systems and making high impact decisions.
About the team
This is a team with a vision to enable BDTs AI-powered experience where every Amazon employee can have natural, insightful conversations with their data - from discovery to insights to actions - by implementing data classification at scale - accelerating Amazon's data-driven culture. Basic Qualifications: - 10+ years of engineering experience
- 5+ years of engineering team management experience
- Experience partnering with product or program management teams Preferred Qualifications: - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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Apply before
Sep 13, 2025
Posted on
Jun 12, 2025
Job Type
Full-time
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