Company Overview Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions.
Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate.
Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.
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 where our colleagues live and work.
With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.
Job Overview Do you like to solve complex and high scale data challenges?
Do you like to work in a variety of business environments, through high impact projects that use the newest data analytic technologies transitioning to a modern data stack?
We are seeking a highly motivated and experienced individual to join our Global Digital Platforms team at Stellantis as a Data Architect.
You will be responsible for designing and managing our data infrastructure.
You will work closely with various departments to understand their data needs and develop solutions that ensure data integrity, security, and accessibility.
Key Responsibilities: Design and manage data systems : Ensuring data security and compliance.
Create blueprints for data infrastructure and standard.
Analyzing Requirements : Analyze structural requirements for new software and applications.
Data Migration : Migrate data from legacy systems to new solutions.
Modeling Data: Design conceptual and logical data models and flowcharts.
Performance Optimization: Improve system performance by conducting tests, troubleshooting, and integrating new elements.
Cost-Effective Solutions: Identify and implement cost-effective strategies to fulfill the platform's objectives without compromising on quality and efficiency.
Security and Backup: Define security and backup procedures to protect data.
Collaboration: Coordinate with the AI & Data business insights teams composed by Data Products, Data Pipeline, AI/GenAI, Data Governances teams to identify future needs and requirements.
Qualifications: Data Modeling: Ability to design conceptual, logical, and physical data models.
+5 years in Big Data Technologies: Knowledge of big data technologies like SnowFlake, DataBricks, Spark, Foundry and NoSQL databases.
Data Warehousing: Understanding of data warehousing solutions and architecture.
+3 years of cloud based solutions (AWS or Microsoft), system, network and operating system experience Analytical Skills: Strong analytical and problem-solving skills.
ETL Processes: Experience with Extract, Transform, Load (ETL) processes and tools.
Excellent communication and collaboration skills.
This role is a unique opportunity to shape the future of digital platforms at Stellantis and drive innovation in the field of Data Platforms architecture.
If you are passionate about technology and eager to lead a team towards success, we encourage you to apply.
"At Stellantis, we assess candidates based on qualifications, merit, and business needs.
We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation, and disability.
Diverse teams will allow us to better meet the evolving needs of our customers and care for our future."