Senior Data Solutions Architect; AWS, Big Data, Data Engineering

Senior Data Solutions Architect (AWS, Big Data, Data Engineering)

Build the Future of Connected Vehicle Data at Stellantis

Stellantis is transforming the future of mobility through connected vehicles, advanced analytics, artificial intelligence, and data‑driven products. Our AI & Data Analytics team develops scalable platforms and innovative data solutions that power some of the world's most recognized automotive brands.

We are seeking a Senior Data Solutions Architect to lead the design and implementation of enterprise‑scale data products and platforms. This role combines technical leadership, architecture, cloud engineering, and stakeholder collaboration to deliver secure, scalable, and high‑performance data solutions that support both internal software products and external customer offerings.

If you are passionate about cloud architecture, big data technologies, real‑time data processing, and building modern data platforms from the ground up, we encourage you to apply.

As a Senior Data Solutions Architect, you will serve as a technical leader responsible for defining architecture, driving technology decisions, and building scalable data services that support Stellantis' connected vehicle ecosystem. You will partner with engineering, product, analytics, and business teams to develop modern cloud‑based data platforms, establish engineering best practices, and ensure data quality across the organization.

• Lead the architecture and technical design of enterprise data solutions for internal platforms and customer‑facing products.
• Design and implement secure, scalable, resilient, and high‑performance data services using modern cloud and Big Data technologies.
• Define architecture standards and engineering best practices for data platforms and analytics solutions.
• Evaluate technology options and make architecture decisions that align with business and technical objectives.

• Design and implement distributed data processing solutions using cloud‑native technologies.
• Build scalable data pipelines for ingestion, transformation, validation, and delivery of connected vehicle data.
• Develop real‑time and batch processing architectures that support growing business needs.
• Ensure data platforms meet performance, reliability, scalability, and security requirements.

• Provide technical direction across multiple engineering teams.
• Influence architectural decisions and drive alignment across cross‑functional organizations.
• Lead implementation efforts from concept through production deployment.
• Mentor and support engineers and technical team members to grow organizational capabilities.

• Establish and maintain data quality standards, validation processes, and monitoring frameworks.
• Lead efforts to standardize instrumentation, observability, and operational readiness across software platforms.
• Develop comprehensive documentation, runbooks, and troubleshooting processes.
• Drive continuous improvement initiatives across data engineering and platform operations.

• Partner with product, engineering, analytics, and business teams to understand complex requirements and deliver effective solutions.
• Build strong relationships with upstream and downstream stakeholders to ensure successful delivery of data products.
• Translate technical concepts into clear business outcomes and recommendations.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.

• 5+ years of experience in data engineering, software development, or data platform architecture.
• 4+ years of hands‑on experience building and maintaining production‑grade data applications.
• 4+ years of experience working with AWS cloud services in production environments.
• Experience designing and implementing enterprise‑scale data solutions and platforms.

• Data architecture and data modeling
• Relational and columnar database technologies
• ETL and ELT design, implementation, and optimization
• Data quality management…