Data Platform Architect - Automotive Business

SKF has been around for more than a century and today we are one of the world’s largest global suppliers of bearings and supporting solutions for rotating equipment. Our products can be found literally everywhere in society. This means that we are an important part of the everyday lives of people and companies around the world. 

In September of 2024, SKF announced the separation of its Automotive business, with the objective to build two world-leading businesses. The role you are applying for will be part of the automotive business. This means you will have the opportunity to be a part of shaping a new company aimed at meeting the needs of the transforming global automotive market.

Would you like to join us in shaping the future of motion?  We are now looking for a …

Data Platform Architect

Automotive Business

Are you passionate about building modern, cloud-native data platforms from the ground up? At SKF Automotive’s, we’re looking for a Data Platform Architect who thrives in a hands-on environment and enjoys shaping the future of data infrastructure.

About the Role
In this pivotal role, you will be a principal architect and builder of the foundational technology & platform that underpins our entire Data operations. You will be responsible for creating the architectural blueprint and technology roadmap that will guide our evolution. By proactively partnering with Data Product Managers & Data Domain Leads, you ensure our data platform is not only powerful and scalable today but is also prepared for the challenges and opportunities of tomorrow.

What you can expect in the role

• Shape the Strategic Roadmap: You’ll help define the architectural blueprint and lead the development of a clear, actionable roadmap for our cloud-native data platform.
• Build Self Service Data Platform: Lead the design and implementation of self-service data platform capabilities. This includes building automated provisioning, reusable ingestion and governance frameworks.
• Implement Security Standards: Collaborate with Cloud security engineers, Cybersecurity Architects and implement data quality, lineage, and compliance frameworks to ensure secure and trustworthy data use.
• Implement Governance Policies: Colloborate with Data Governace experts and implement data governance policies, lifecycle management, and cataloging practices
• Lead and Collaborate: Foster a strong engineering culture by sharing knowledge, mentoring others, and collaborating across teams to solve challenges and drive continuous improvement

We expect you to have

• Academic background in Computer Science, Information Systems, Cloud Computing, Software Engineering, or a related field is considered relevant.
• Several years of hands-on experience in data architecture, data platform engineering, or related fields, ideally within tech-driven or industrial environments.
• Proficient with tools such as, Snowflake, Databricks, Dbt, Azure, Terraform
• Advanced proficiency in Python and SQL.
• Strong expertise in data modeling, architecture patterns, and cloud-native data technologies.
• Familiarity with Infrastructure as Code (IaC), CI/CD pipelines, and containerization tools such as Docker and Kubernetes.
• Strong understanding of modern architectural paradigms like Data Mesh, Data Fabric, and Data as a Product, and the ability to apply them in practice.

You will enjoy working here if you are

• A dynamic environment where you work closely with cross-functional teams to drive meaningful data solutions.
• Opportunities to lead transformative initiatives and contribute to operational excellence.
• A culture that values proactive problem-solving, autonomy, and ongoing professional development.

SKF is committed to creating a diverse environment, and we firmly believe that a diverse workforce is essential for our continued success. Therefore, we only focus on your experience, skills, and potential. Come as you are – just be yourself. #weareSKF

Some additional information   
This position is located at any of SKF Automotive's main sites in Cajamar (Brazil), Puebla (Mexico), or Gothenburg (Sweden).
Employment will be on a local contract, and therefore, you need to live in the region and be able to commute to our site several times per week.

You will report to the Head of Data Factory. Please note that we can't accept applications and CVs via email or LinkedIn.

Is this you?
If this sounds like a good fit, please submit your application and CV in English by March 6, 2026. We review applications on an ongoing basis, so we encourage you to apply as soon as possible.

At SKF, we are committed to promoting fairness and inclusivity throughout our recruitment process. To achieve this, we may include assessments and verify the information in your application in compliance with country-specific laws and regulations.