Job Summary
VOLVO IT- FG
Lead Consultant-
You will join a high-performing team of Data Architects, Data Engineers, and Data Analysts, working closely with Digital Product Managers and Product Owners.
What You'll Do
• Design and implement scalable data architectures on Azure and Databricks.
• Define data models, architecture standards, and best practices.
• Establish governance, security, and compliance frameworks (RBAC, GDPR, data lineage).
• Translate business requirements into architecture roadmaps and solution designs.
• Provide technical leadership, mentorship, and hands-on guidance to development teams.
What We're Looking For
Cloud & Data Platforms
• Proven experience designing and implementing data solutions on Azure and Databricks.
• Strong understanding of Databricks architecture and capabilities.
• Experience defining target architectures and reusable design patterns.
• Strong data modeling expertise across complex enterprise domains.
• Knowledge of integrating AI/ML use cases into data and analytics solutions is an advantage.
Data Engineering & Analytics
• Strong skills in SQL, Python, and PySpark.
• Experience with dimensional modeling and analytical data models.
• Understanding of data product lifecycle management and data-driven solution design.
• Experience exposing data through APIs.
• Power BI knowledge, particularly with Databricks integration, is a plus.
DevOps
• Experience with CI/CD practices and Azure DevOps.
Preferred Experience
• Automotive or purchasing domain experience.
• Experience working in large enterprise environments.
• Strong collaboration skills in cross-functional teams.
• Experience supporting AI/ML and Generative AI initiatives through scalable data architecture, governance, and platform design."
Key Responsibilities
You will join a high-performing team of Data Architects, Data Engineers, and Data Analysts, working closely with Digital Product Managers and Product Owners.
What You'll Do
• Design and implement scalable data architectures on Azure and Databricks.
• Define data models, architecture standards, and best practices.
• Establish governance, security, and compliance frameworks (RBAC, GDPR, data lineage).
• Translate business requirements into architecture roadmaps and solution designs.
• Provide technical leadership, mentorship, and hands-on guidance to development teams.
What We're Looking For
Cloud & Data Platforms
• Proven experience designing and implementing data solutions on Azure and Databricks.
• Strong understanding of Databricks architecture and capabilities.
• Experience defining target architectures and reusable design patterns.
• Strong data modeling expertise across complex enterprise domains.
• Knowledge of integrating AI/ML use cases into data and analytics solutions is an advantage.
Data Engineering & Analytics
• Strong skills in SQL, Python, and PySpark.
• Experience with dimensional modeling and analytical data models.
• Understanding of data product lifecycle management and data-driven solution design.
• Experience exposing data through APIs.
• Power BI knowledge, particularly with Databricks integration, is a plus.
DevOps
• Experience with CI/CD practices and Azure DevOps.
Preferred Experience
• Automotive or purchasing domain experience.
• Experience working in large enterprise environments.
• Strong collaboration skills in cross-functional teams.
• Experience supporting AI/ML and Generative AI initiatives through scalable data architecture, governance, and platform design."