Enterprise Data Architect
Workplace: Stockholm, Sweden
Expires: November 9, 2025
Lead and shape the data architecture and governance for a fast-moving pan-Nordic organization, focusing on enhancing data quality, integration, and AI enablement to support business innovation and strategic goals.
Main requirements:
- Proven experience in enterprise-level master data management, data governance, and quality improvement
- Exceptional communication skills to translate technical concepts into business value and align diverse stakeholders
- Expertise in cloud-based distributed data platforms such as Azure, AWS, or GCP
- Fluency with tools like Python, DBT, or SQL and ability to architect platform evolution and data flows
- Experience designing and implementing enterprise-scale data-driven architectures including secure data flows for analytics and AI use cases
Responsibilities:
- Evaluate and improve the existing data landscape to increase quality, performance, and reliability
- Develop and implement enterprise-wide master data management, integration, and data quality strategies
- Define and maintain data governance artifacts including data definitions, business glossaries, data models, and role-based responsibilities ensuring legal compliance
- Lead strategic collaboration across IT, security, and business stakeholders to enable AI-aware scalable data governance and architecture
- Embed security, compliance, and risk controls into architectural frameworks and data governance
- Promote data literacy and governance adoption organization-wide fostering shared understanding of data ownership and responsibilities
Required hard skills:
- Master Data Management
- Data Governance
- Data Quality Improvement
- Cloud Platforms (Azure, AWS, GCP)
- Python
- DBT
- SQL
- Enterprise Data Architecture
- AI and Analytics Data Flows Security
Recommended hard skills:
- Natural Language Processing (NLP)
- Predictive Modeling
- Customer Scoring Models
Soft skills:
- Exceptional Communication
- Stakeholder Alignment
- Collaboration
- Creative Problem Solving
- Business and Technical Bridging
- Motivation for Continuous Learning
Coding languages:
- Python
- SQL
Frameworks:
- DBT
Natural languages:
- English (Proficient)
- Nordic languages (Working knowledge)
Cultural skills:
- Cross-border collaboration
- Navigating cultural differences
- Pan-Nordic teamwork cohesion