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.
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.
Our World:
Great mobility solutions start with great people! This is an exciting time to join us!
Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.
In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and our people live and work.
Requirements:
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
