PLM System Development Engineer, Data and Analytics, Amazon Robotics, TES

The Amazon Robotics (AR), Technology Enablement Services (TES) team, is seeking a PLM Systems Development Engineer focused on Data and Analytics for our Teamcenter Product Lifecycle Management platform. This role sits at the intersection of enterprise PLM data, cloud data engineering, and business intelligence, building the data infrastructure that transforms raw PLM data into actionable insights for engineering leadership and cross-functional stakeholders. The ideal candidate has a strong data engineering background with hands-on experience building scalable data pipelines using AWS services and extracting data from complex enterprise applications. You will work with cross-functional teams to build the analytics layer that provides visibility into product development performance, PLM system health, and data quality across the organization. This role requires an individual who is customer-centric, able to work in a fast-paced environment, and comfortable operating with an entrepreneurial mindset. You will collaborate with PLM engineers, product managers, hardware development engineers, and business stakeholders to understand data needs, build reliable pipelines, and deliver analytics that drive decision-making.

Key job responsibilities
• Design and build data extraction pipelines from Siemens Teamcenter PLM to AWS data lake using services such as AWS Glue, Lambda, Step Functions, and S3
• Create and maintain analytics data models representing PLM product lifecycle metrics including BOM structures, change management workflows, and document management
• Build dashboards and reporting for Teamcenter usage analytics, data quality monitoring, and product development cycle performance using Amazon QuickSight or equivalent tools
• Support PLM system integration data flows with monitoring, alerting, and observability
• Develop data validation and quality frameworks to ensure integrity of PLM data across enterprise system boundaries
• Implement data federation capabilities between Teamcenter and other enterprise systems including ERP and CAD tools.
• Optimize data infrastructure for cost, performance, and reliability within AWS environments
• Apply relevant data engineering best practices including version control, testing, documentation, and CI/CD for data pipelines
• Present data insights and technical information clearly to stakeholders and participate in knowledge sharing across the team

A day in the life
As a PLM Systems Development Engineer focused on Data and Analytics, you bridge data engineering expertise with PLM domain knowledge. Your day may start by reviewing pipeline health dashboards and triaging a data quality alert from an overnight Teamcenter extraction job. You then join a stand-up with the PLM engineering team to understand upcoming schema changes that affect your pipelines. Throughout the day, you collaborate with PLM engineers, hardware development engineers, product managers, and business stakeholders to ensure data and analytics solutions meet the needs of AR.

About the team
The Amazon Robotics (AR), Technology Enablement Services (TES) team , enables AR's people, purpose, and place to deliver the future. We remove barriers, drive organizational productivity, and foster growth. We serve AR leadership, product customers, and employees, and collaborate with teams throughout FTR. Creating a safe, inclusive, and productive workplace experience. Designing and iterating on learning, development, and engagement solutions to support needs of operators and employees. Synthesizing and articulating AR's long-term strategy, near-term goals, product roadmaps, and workforce strategy. Developing and managing cross organizational mechanisms, reporting, programs, and Sustainability efforts. Basic Qualifications: - Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- 3+ years of data engineering, database engineering, business intelligence or business analytics experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience including, building and maintaining data flows and pipelines
- Experience with Linux/Unix operating systems
- Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
- Experience with version control systems and CI/CD pipeline implementation
- Experience Experience working with complex data sets Preferred Qualifications: - Experience with distributed systems at scale
- Experience in any Bigdata architecture, or experience with automation and any version control tools and experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Experience with enterprise systems including SAP, Oracle, and custom applications
- Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
-  Experience with Siemens Teamcenter PLM data model including Items, BOMs, Change objects, and Document management Experience with PLM or ERP system data extraction and integration

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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 https://amazon.jobs/en/benefits.

USA, CA, SANTA CLARA - 148,700.00 - 201,200.00 USD annually
USA, MA, N.Reading - 129,200.00 - 174,800.00 USD annually
USA, TX, Austin - 129,200.00 - 174,800.00 USD annually
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually