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'd like to hear from

you.

 

About the Role

 

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 be a 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.

 

This role requires expertise in data architecture, cloud technologies, and distributed

processing systems, real-time data pipelines, and large-scale data engineering.

 

What You'll Do

Data Architecture & Solution Design

• 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.

 

Cloud & Big Data Engineering

• 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.

 

Technical Leadership

• 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 help grow organizational capabilities.

 

Data Quality & Operational Excellence

• 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.

 

Stakeholder Collaboration

• Partner with product, engineering, analytics, and business teams to understand <