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Data Architect – EE Analytics
Scania Group. Shape and evolve the architecture for E/E engineering data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and analytics, with a strong focus on data modeling, integration patterns, and cloud-based environments. Proven ability to guide architectural decisions and collaborate effectively across teams to enhance data quality and governance.
Highest-signal resume keywords
Data EngineeringData ModelingCloud-Based Data EnvironmentsArchitectural LeadershipData Quality Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ModelingIntegration PatternsData QualityData GovernanceAnalyticsAI-Enabled ApplicationsReusable Data CapabilitiesFederated Data ModelsTechnical Problem-Solving
Soft Skills
Collaborative ApproachCommunication SkillsPragmatic Problem-Solving
Tools & Technologies
AWSSnowflakeData Platforms
Industry Keywords
Automotive IndustryEmbedded SystemsSystems Engineering
Tech Stack
Tools & technologiesAWSCloudSnowflake
About the role
Key responsibilities & impact- Shape and evolve the architecture for E/E engineering data
- Balance current reporting and analytics needs with reusable data capabilities
- Design and review data models, shared definitions and integration patterns
- Guide data engineering practices for data quality, lineage, traceability and ownership
- Work with analysts and stakeholders to support reliable reporting, KPIs and performance insights
- Identify opportunities to make data products and pipelines reusable, including for AI-enabled use cases
- Collaborate with AI Enablement where relevant
- Provide architectural guidance to data engineers and analysts
- Contribute hands-on through design reviews, prototypes and technical problem-solving
- Collaborate with product owners, engineering stakeholders, and data platform and governance teams across R&D
Requirements
What you’ll need- Experience in data engineering, analytics or modern data platforms, with architectural or technical leadership responsibility
- Strong knowledge of data modeling, semantic layers and integration patterns
- Experience with cloud-based data environments such as AWS, Snowflake or similar platforms
- Experience working with data from multiple systems or in software development or engineering environments
- Structured approach to data quality, traceability, ownership and governance
- Ability to explain architectural choices and trade-offs to technical and non-technical stakeholders
- Experience with data products, federated data models or reusable data capabilities is a strong plus
- Knowledge of embedded systems, automotive or systems engineering is a strong plus
- Experience working across organizational or domain boundaries is a strong plus
- Interest in trusted engineering data supporting AI-enabled applications is a strong plus
- Collaborative, pragmatic approach and comfort working through open questions with others
- Fluency in English is necessary
- Swedish is not required
- Experience in the automotive industry is advantageous but not required
- Background check may be required
Benefits
Comp & perks- Access to the health center in Gröndal or a wellness allowance
- Bonus
- Flexible working hours
- Company car leasing
- Employee and family events
- Structured development plan
- Wide range of training opportunities
- Professional growth locally and internationally
- Direct Scania Job express buses to Södertälje for those living in Stockholm