Principal Data Engineer

Posted on March 21, 2025

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Job Description

  • Principal Data Engineer
  • 8+
  • Job Description:-
  • Exponential growth in adoption and deployment of connected cars and devices is bringing previously unavailable datasets to market � at scale and in real-time. Stellantis, one of the largest global car makers and the parent company of dozens of iconic brands including Jeep, Fiat, Maserati, Peugeots, and more, has created a new Data BU to harness sensor and other data from 10s of millions of connected vehicles as well as that from IoT/connected devices from external sources to build data products and services that can power hundreds of brand-new b2b and b2c applications, services, and decision-making across industries.
  • Stellantis Data BU is looking for an accomplished and highly experienced Data Engineering leader. As the leader of the data engineering team, your mission is to design and develop our data platform and spearhead rapid buildout and delivery of data products and services the Data BU plans to take to market.
  • A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world.
  • Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:
  • � Design and build a scalable data platform that can ingest, store, manage and stream massive amounts of data while simplifying its analysis and processing to enable rapid development of high-quality data products and services.
  • � Thorough understanding of data design patterns to define and own data engineering design guidelines, data engineering operating excellence guidelines, data engineering security guidelines and privacy guidelines.
  • � Design framework to automate with all necessary preventative and detective controls for ensuring high availability of data, timely availability of data, data correctness, privacy, security in all data pipelines at every step of data movement through the platform.
  • � In partnership with the data science and analytics team design?and?optimize?data?pipelines?to support?descriptive?analytics,?data?science,?and?ML.
  • � Collaborate with UX and software engineering teams to ensure easy discovery and licensing of data as well as a low-latency delivery of and high-uptime access to the data products and services.
  • � Implement a data governance policy for data management of partner/3rd party data to ensure data privacy compliance with GDPR and CCPA
  • � Partner with software engineering teams in designing data request/delivery APIs and the creation of a standardized metering and instrumentation approach for all data products
  • � Design and implement an experimentation platform for the agile, but secure, testing of data products and services.
  • � Drive continual improvements for reliability, performance, scalability, and quality and own associated KPIs
  • � Build and mentor a world class team of data engineers, expanding the impact and reach of data at Stellantis.
  • � Providing on-call support for the platform and troubleshooting any issues that arise.

Required Skills

principal data engineer