Looking for a Data Engineering Manager to lead a team of Data Engineers and Software Development Engineers, and partner closely with Data Scientists, and Product Managers to define, design and deliver solutions that combine machine learning, human-in-the-loop input, and distributed big data technologies. We're building solutions to achieve amazing feats with data, to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer in the world, to the fullest.Organizations all over the world rely on our storage, compute, and virtualized services. Our success depends on our world-class selling and field teams, and these teams rely on the SMGS Ops (Sales, Marketing, and Global Services and Operations) team to power their activities. We're handling massive scale, providing data that drives the AWS business internally, and delivering products and services to help our Amazon Web Service selling teams, marketing groups, and customers.Key job responsibilitiesIn this role expect to:- Lead a team of Data Engineers and Software Development Engineers- Design solutions to complex and ambiguous data challenges, starting from first principles- Evolve our long-term roadmap of projects- Define the tech stack & operational strategies- Work with AWS technologies such as EMR, S3, DynamoDB, Glue, Lambda, SQS, and more- Experiment and explore new technologies to create innovative solutions- Apply software engineering best practices in terms of quality, security, scalability and maintainabilityA day in the lifeInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.About the teamWork/Life BalanceOur 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.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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USA- 7+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience- 5+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience hiring, developing and promoting engineering talent- Experience communicating to senior management and customers verbally and in writing- 3+ Years managing and scaling a high performing Data Engineering (or similar) team- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Ex