Role: Data Solution Architect (MS Fabric)
Start Date: November 2025
Duration: 6 months + Possible extension
Location: 100% remote EU
Capacity: 5 days a week
Language needed: English Speaker
Job Description:
The Data Solution Architect will support the design of scalable, secure, and high-quality data solutions, working closely with IT and business stakeholders to align architecture with strategic priorities such as data ingestion, domain modelling, governance, and advanced analytics, with a strong focus on business value.
Responsibilities:
- Design end-to-end data architecture including ingestion, storage, governance, and consumption layers.
- Develop ingestion pipelines for heterogeneous sources ensuring data quality and consistency.
- Support definition and implementation of business-driven data domains and data products.
- Implement governance practices including lineage, metadata management, and quality controls.
- Enable self-service analytics using modern BI tools.
- Collaborate with business and IT to align technical solutions with business priorities.
- Provide guidance and mentorship to Data Product Owners and Data Engineers.
Tech skills:
- Modern architectures: Data Lakehouse, Data Mesh, Data Fabric.
- Cloud platforms: Microsoft Fabric including Synapse.
- ETL/ELT tools: Azure Data Factory, Synapse Pipelines.
- Governance and cataloging: Microsoft Purview, RBAC, lineage tools.
- BI and analytics: Power BI, integration with AI/GenAI tools.
- Data modeling: domaindriven design, data product development.
- Security and compliance: access controls, risk management.
Soft Skills:
- Strong business acumen and ability to translate needs into data solutions.
- Excellent communication and stakeholder management.
- Leadership and mentoring capabilities.
- Strategic thinking and proactive problem-solving.
- Change management and promotion of data-driven culture.
Experience:
- Minimum 5 years in Data Architect or Solution Architect roles in enterprise environments.
- Experience in data modernization and self-service analytics projects.
- Familiarity with Data as-a-Product methodologies and AI/GenAI enablement.
Must have:
- Data modelling
- Data Governance
- Microsoft Fabric
Nice to have:
