DATA ARCHITECTURE SENIOR - Data Architecture – Digital Platforms

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.

We are looking for a highly motivated and experienced person to join our Global Digital Platforms team as a Data Architect. This role will be responsible for designing and managing data infrastructure, collaborating with multiple departments to ensure data integrity, security, and accessibility. If you enjoy solving complex, large-scale data challenges and working on high-impact projects using modern data technologies, this is your opportunity to shape the future of digital platforms at Stellantis.

Main Activities:

• Design and manage data systems, ensuring data security and compliance;

• Analyze structural requirements for new software and applications;

• Migrate data from legacy systems to new solutions;

• Design conceptual and logical data models and flowcharts;

• Improve system performance by conducting tests, troubleshooting, and integrating new elements;

• Identify and implement cost-effective strategies to meet platform objectives;

• Define security and backup procedures to protect data;

• Coordinate with AI & Data business insights teams, including Data Products, Data Pipeline, AI/GenAI, and Data Governance, to identify future needs and requirements.