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

Job

Stellantis

Auburn Hills, MI (In Person)

Full-Time

Posted 2 days ago (Updated 18 hours ago) • Actively hiring

Expires 7/24/2026

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Job Description

Senior Data Solutions Architect (AWS, Big Data, Data Engineering) Stellantis - 3.9 Auburn Hills, MI Job Details 3 hours ago Benefits Career development plan Qualifications Real-time data processing implementation
Full Job Description Job ID:
2019328
Career Area:
Engineering Position Type:
Salaried Location:
Headquarters & Technology Center - Auburn Hills 48326,
US Date Posted:
June 23, 2026
Brand:
FCA Group 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 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. EOE/Disability/Veteran At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Our benefits reflects the
STELLANTIS
commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired. We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.