Solution Architect

Your Mission: The AI & Data Analytics Team is looking for an application architect/tech lead to join our team. Your mission is to identify, design and implement data products across all of Stellantis’ software products, promoting engineering best practices, and keeping the high bar for data quality. Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities: Leading the technical design for data solutions for both internal software platforms and external customers Design and implement secure, scalable, high-performance and robust data services for connected vehicle data in distributed data processing platforms using modern Big Data technologies. Making technology and architectural decisions with input from a broad set of technical teams, driving implementation and influencing departments outside of your own to create win-win scenarios Leading efforts to implement and maintain consistent instrumentation across software platforms and features Develop end-to-end processes to standardize troubleshooting via world-class documentation (e.g., runbooks) Creatively resolve blockers and integrate into multiple processes and workstreams to accomplish goals Build relationships with key partners & stakeholders to meet the need of upstream and downstream dependencies Support & help develop team members across the team to ensure the team is developing and thriving Top Performers will be able to demonstrate: Comprehensive knowledge of relational database concepts, including; data architecture, operational data stores, interface processes, multidimensional modeling, master data management, and data manipulation Expert knowledge and experience with custom ETL design, implementation and maintenance Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies Experienced working on cross-functional teams and leading efforts to build data services from the ground up Excellent communication skills with the ability to understand complex business problems and provide solutions. Basic Qualifications: BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline preferred 5+ years of experience in the data engineering and software development life cycle. 4+ years of hands‑on experience in building and maintaining production data applications, current experience in both relational and columnar data stores. 4+ years of hands‑on experience working with AWS cloud services Comprehensive experience with one or more programming languages such as Python, Java, or Rust Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.) Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.) Experience with designing and implementing real-time pipelines Experience with data quality and validation Experience with API design Preferred Qualifications: Certification in AWS or other cloud providers Experience with Databricks notebook workflows Experience with Terraform Your Platform: 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. #J-18808-Ljbffr