Data Architect - EE Analytics

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Science

In short

TRATON Group R&D is looking for an experienced Data Architect to shape the architecture, data models, and integration patterns for E/E engineering data. This role involves guiding data engineering practices, supporting reliable reporting and analytics, and exploring opportunities for reusable data capabilities, including for AI-enabled use cases. The position is based in Södertälje, Sweden.

Responsibilities

Shape and evolve the architecture for E/E engineering data, balancing current reporting and analytics needs with opportunities to develop reusable data capabilities.
Design and review data models, shared definitions and integration patterns for relevant engineering data sources.
Guide data engineering practices for data quality, lineage, traceability and ownership, in collaboration with the relevant system and platform owners.
Work with analysts and stakeholders to ensure the data architecture supports reliable reporting, KPIs, performance insights and other agreed engineering needs.
Identify opportunities to make data products and pipelines reusable, including for AI-enabled use cases, and collaborate with AI Enablement where relevant.
Provide architectural guidance to data engineers and analysts, and contribute hands-on through design reviews, prototypes or technical problem-solving.
Collaborate with product owners, engineering stakeholders, and data platform and governance teams across R&D.

Requirements

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.
A structured approach to data quality, traceability, ownership and governance.
The ability to explain architectural choices and their trade-offs to both technical and non-technical stakeholders.

Desired Qualifications

Experience with data products, federated data models or reusable data capabilities.
Knowledge of embedded systems, automotive or systems engineering.
Experience working across organizational or domain boundaries.
Interest in how trusted engineering data can support AI-enabled applications.
Experience in the automotive industry is an advantage but not required.
Fluency in English is necessary; Swedish is not a must.

Benefits

Access to our health center in Gröndal or a wellness allowance
Bonus
Flexible working hours
Company car leasing
Events for employees and their families
Convenient commuting supported through direct Scania Job express buses to Södertälje

Skills

Data ModelingAWSSnowflakeData QualityData LineageData GovernanceIntegration PatternsSemantic Layers

#Data Architecture#Analytics#E/E Engineering Data#Data Models#Integration Patterns#Data Quality#Data Lineage#Traceability#Ownership#AI-enabled applications#Cloud Data Environments#AWS#Snowflake#Automotive#Systems Engineering

About Scania Group

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. Employing more than 50,000 people in about 100 countries, Scania’s research and development is concentrated in Sweden, while production takes place in Europe and South America.

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