Python Careers in cajamar ∙ Page 1

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 …

Senior Data Platform Architect - Automotive Business

Data Factory is the central data engine of SKF Automotive Organization. We own and manage data platforms and the entire data engineering lifecycle, powering a self-service data platform and delivering end-to-end data services. We ensure the data ecosystem's reliability and enable business units to use data effectively and confidently.

SKF Automotive's Data Factory department is seeking a Senior Data Platform Architect to define the future of our data factory ecosystem. In this pivotal role, you will be a principal architect and builder of the foundational technology & platform that underpins our entire Data Factory 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.

This is a role for a strategic thinker and influential leader who can design cohesive, secure, and cost-effective data platform architecture. You will be the technical north star for our data engineering teams, empowering them to build with clarity, consistency, and a shared understanding of our long-term goals.

You will also oversee the daily management of IT systems and applications within the scope of your role, ensuring efficiency, effectiveness, and the adoption of best-in-class solutions.

Join our team to drive transformative initiatives and foster a culture of collaboration and innovation.

Responsibilities 

• Shape the Strategic Roadmap: Act as the key technical advisor and strategic partner in Data Factory. You will contribute your deep architectural expertise to help shape the architectural blueprint for the data factory and then take the lead in developing the comprehensive technical roadmap required to bring that shared vision to life.
• Execute & Deliver the Roadmap: Lead the implementation of the platform's architectural roadmap. You will provide senior technical guidance and oversight into the core components to ensure successful delivery.
• Lead Technology Evaluation: Lead the research, evaluation, and selection of new data technologies, frameworks, and vendor partnerships to ensure our platform remains modern, efficient, and cost-effective.
• Implement Security and Governance Standards: Collaborate with Cloud security engineers, Cybersecurity Architects, Data Governance experts and architects to implement architectural principles, data modeling standards, and engineering best practices that all data teams will follow to ensure quality and consistency.
• Self Service Data Platform: Lead the architectural design of our self-service data platform capabilities. You will strategize and create the core frameworks (e.g., for data quality, monitoring, and ingestion) that enable our teams to declaratively configure and launch entire data pipelines, ensuring consistency, best practices, etc.
• DevSecOps : Lead the architectural integration of DevSecOps practices ("Shift Left" security). You will be responsible for designing how security controls, threat modeling, and automated testing are woven into our DevOps process, CI/CD pipelines and engineering workflows.
• Technical Leadership: Build and lead a community of practice by launching and facilitating regular knowledge share sessions. This will be the central hub for data engineers to learn about new platform developments & features, to solve problems together and share knowledge. You will be instrumental in nurturing this culture of continuous learning and collaboration.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Cloud Computing, Software Engineering, or a related field.
• 8+ years of experience in data architecture, data platform engineering, or related fields, with a strong focus on designing and managing end-to-end data platform solutions.
• Proven hands-on experience in our tech stack which includes – Snowflake, Databricks, Dbt, Informatica, HVR etc.
• Proven expertise in Terraform scripting, Infrastructure as Code (IaC), and cloud-based platforms (Azure).
• Proficiency with containerization and cloud automation tools (Docker, Kubernetes, Terraform or similar) is preferred along with a strong understanding of data lifecycle management and data governance best practices.
• Deep knowledge of modern architectural paradigms (e.g., Data Mesh, Data Fabric, Data as a Product) and the ability to judiciously apply them.
• Experience designing and implementing secure landing zones for cloud platforms.
• Proven experience in designing and implementing DevSecOps practices (e.g., SAST, DAST, IaC scanning, dependency checking) within a cloud-native data platform.
• Familiarity with the principles of Infrastructure as Code, CI/CD, and DataOps, and how to incorporate them into a strategic architectural plan.
• Advanced Proficiency in SQL & Python.
• Strong communication, stakeholder management, and leadership skills with a proven ability to balance technical nuances with strategic vision.
• Ability to work collaboratively in a dynamic, fast-paced environment.
• A desire to learn and grow, with an interest in learning emerging & new technologies.

You will enjoy working here if you (are/have) 

• 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 role can be located at any of SKF Automotive sites globally, and the preferred locations is Gothenburg - Sweden, Bangalore - India, and Cajamar São Paolo - Brazil.

You will report to the Head of Data Factory. For questions regarding the recruitment process, please contact Stina Scheller – Automotive Recruitment Expert, [email protected]. Please note that we can't accept applications and CV's via email.  

Is this you?   
If the answer is yes, submit your application with your CV in English no later than August 29, 2025.
Please note that we can't accept applications via email.  
We will screen candidates continuously throughout the application period, so make sure to submit your application as soon as possible.

We are building a strong & diverse team with a broad palette of responsibilities. We invite you to explore all currently open positions in Automotive IT here: Automotive IT, Information Security and Process Excellence.