Data Engineering Manager III, AWS Supply Chain Operations
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
We are looking for a seasoned Data Engineer Manager to join the Manufacturing Operations Transportation Operations and Re:Cycle (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain consisting of transportation warehousing and reverse logistics into and out of the data centers.
This role will lead a new team of junior and mid-level Data Engineers and Business Intelligence Engineers responsible for connecting the different systems across the supply chain together so operational teams have clean actionable data to work with. The ideal candidate excels in soft skills necessary to help the team form establish its business rhythms and begin delivering results. They must enjoy training mentoring and growing subordinates while working with large volumes of data in a global highly complex technical context.
On the technical side the candidate must be passionate about data and analytics. They must be an expert working with data modeling with un/structured data ingestion pipelines and ETL design and business intelligence tools to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. They must be a self-starter comfortable with ambiguity able to think big (while paying careful attention to detail) and mentors other engineers on data engineering best practices.
Key job responsibilities
- Lead and manage a team of junior and mid-level data engineers and business intelligence engineers
- Establish team business practices roles and responsibilities and professional development opportunities
- Build and maintain the data infrastructure to answer business questions with data using data engineering best practices
- Define the data engineering processes that leverage various AWS services to improve accessibility redundancy data integrity cost and storage requirements.
- Collaborate with Data Engineers Business Intelligence Engineers Data Scientists Business Analysts and Product/Program Managers to understand the business and technical requirements and make decisions that help make the products/programs smoother.
- Interface with other technology/data engineering teams to extract transform and load data from a wide variety of data sources using and AWS data technologies.
- Lead the technical design and implementation of the data infrastructure.
- Design and manage data audit quality and reconciliation processes in collaboration with various stakeholders.
A day in the life
With a global supply chain supporting 123 Availability Zones within 39 Geographic Regions data is everywhere. Your purpose is to develop and implement the digital strategy for supply chain operations working across manufacturing logistics facilities and supply chain planning organizations. You will heavily influence make vs buy decisions for applications system architectures/design and master data management strategies.
About the team
This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate timely data and provide business insights to help improve operational excellence.
Amazon values diverse experiences and our team is no different. You will join a team with members in different countries backgrounds and perspectives. 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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 theres nothing we cant achieve in the cloud.
Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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 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
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
This role will lead a new team of junior and mid-level Data Engineers and Business Intelligence Engineers responsible for connecting the different systems across the supply chain together so operational teams have clean actionable data to work with. The ideal candidate excels in soft skills necessary to help the team form establish its business rhythms and begin delivering results. They must enjoy training mentoring and growing subordinates while working with large volumes of data in a global highly complex technical context.
On the technical side the candidate must be passionate about data and analytics. They must be an expert working with data modeling with un/structured data ingestion pipelines and ETL design and business intelligence tools to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. They must be a self-starter comfortable with ambiguity able to think big (while paying careful attention to detail) and mentors other engineers on data engineering best practices.
Key job responsibilities
- Lead and manage a team of junior and mid-level data engineers and business intelligence engineers
- Establish team business practices roles and responsibilities and professional development opportunities
- Build and maintain the data infrastructure to answer business questions with data using data engineering best practices
- Define the data engineering processes that leverage various AWS services to improve accessibility redundancy data integrity cost and storage requirements.
- Collaborate with Data Engineers Business Intelligence Engineers Data Scientists Business Analysts and Product/Program Managers to understand the business and technical requirements and make decisions that help make the products/programs smoother.
- Interface with other technology/data engineering teams to extract transform and load data from a wide variety of data sources using and AWS data technologies.
- Lead the technical design and implementation of the data infrastructure.
- Design and manage data audit quality and reconciliation processes in collaboration with various stakeholders.
A day in the life
With a global supply chain supporting 123 Availability Zones within 39 Geographic Regions data is everywhere. Your purpose is to develop and implement the digital strategy for supply chain operations working across manufacturing logistics facilities and supply chain planning organizations. You will heavily influence make vs buy decisions for applications system architectures/design and master data management strategies.
About the team
This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate timely data and provide business insights to help improve operational excellence.
Amazon values diverse experiences and our team is no different. You will join a team with members in different countries backgrounds and perspectives. 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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 theres nothing we cant achieve in the cloud.
Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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 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
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at VA Arlington - 170000.00 - 230000.00 USD annually
USA WA Bellevue - 170000.00 - 230000.00 USD annually
Required Experience:
Manager
Key Skills
About Company
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