Seniority Level: Expert
Location: Gothenburg, Sweden
Remote Work: 0% (On-site)
Application Deadline: 6 June 2025
Workload: 100%
Key Responsibilities
Enterprise Data Strategy
Define and lead the organization’s data architecture strategy aligned with long-term business objectives.
Develop a technical roadmap following architectural principles and design best practices.
Data Architecture Design & Governance
Design and implement scalable, secure, and high-performing data architecture frameworks.
Enforce data governance processes to ensure data quality, compliance, and consistency.
Data Modeling & Integration
Lead the development of physical data models, ensuring alignment with conceptual and logical models.
Integrate data from various sources to support real-time analytics and decision-making.
Technology & Innovation
Drive adoption of modern data technologies defined by the central platform team.
Promote innovation within the logistics and manufacturing operations domain.
Mentorship & Leadership
Provide technical guidance to architects, engineers, and modelers.
Foster a collaborative and learning-oriented culture within the data organization.
Cross-Functional Collaboration
Lead cross-functional initiatives to align data architecture standards across engineering, analytics, and development teams.
Business Transformation
Ensure data assets support scalable growth, innovation, and digital transformation initiatives.
In Summary, You Will:
Develop and maintain domain architecture strategies, guidelines, and standards
Support the migration of analytics solutions to a Unified Data Platform
Translate business requirements into scalable technical solutions
Conduct architecture reviews to ensure compliance and quality
Stay up-to-date with emerging technologies and trends in data architecture
Qualifications
University degree in Computer Science, Information Systems, or equivalent
Extensive experience as a data architect in enterprise environments
Deep knowledge of Azure Data Services, including:
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Azure Data Lake
Proven ability to deliver end-to-end scalable solutions
Strong skills in strategic thinking and change management
Excellent communication and stakeholder management abilities
Structured, analytical, and proactive mindset
Able to communicate effectively across all organizational levels
Empathetic and collaborative team player with leadership qualities
Language Requirements
English: Fluent (written and spoken)
Required Skills
Data Architecture
Data Modeling
Azure Platform (ADF, Synapse, Databricks, Data Lake)
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