Data Engineering Manager, Data Center Engineering

- 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

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The Data Center Engineering team owns the availability of AWS data centers, and has a direct impact on the customer experience. We obsess over customers by developing the most advanced engineering solutions that result in world class uptime, while continuously reducing costs for our customers. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences.

As a Data Engineering Manager you will play a thought leadership role in our team – the team will look to you for advice on analytical and business issues facing them. You work very efficiently and routinely deliver the right things. You will have a org-wide view of the analytical solutions that you build, and you will consistently think in terms of automating or expanding the results org-wide. This high impact role will have an opportunity to lead a team to help design and build our data infrastructure from the ground up, while driving business intelligence solutions end-to-end: business requirements, workflow instrumentation, data modeling, ETL, metadata, reporting, and dashboard development. You are an expert at designing, implementing, and operating stable, scalable, low cost solutions for our end users. The role requires someone who loves data, has strong technical skills, has a strong business sense, and can lead a team to put these skills into action.

The ideal candidate will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. They are motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about leading a team that uses data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.



Key job responsibilities
Responsibilities include:

- Conduct deep dive investigations into business problems and identify potential opportunities
- Support and challenge your team to meet critical milestones
- Lead the design, implement and support a scalable and reliable infrastructure for Data Center Engineering, BI and Analysis to drive key business decisions
- Develop reports and dashboards using various technologies to allow internal teams to understand issues and identify actions to be taken to solve these issues
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Identify ways to automate analysis through smarter software systems

About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.