Looking for Senior Data Architect (Azure)
Location: NO Ukraine-based candidates
Engagement: Full-time / Contract
Tech Stack:
Azure Data Platform: Azure Synapse, Azure Data Lake, Azure Data Factory (ADF), Azure SQL/SQL Server
Processing: Databricks / Lakehouse architecture, ETL/ELT, batch & incremental processing
Data Modeling: fact tables, dimensional/star schemas, data warehouse
Languages: Python, SQL, Scala
Governance: data governance, security, access control, compliance in Azure
Responsibilities:
- Own and design overall Azure data platform architecture (end-to-end)
- Design scalable data architectures for unstructured data and varied file formats
- Build and optimize data pipelines, models, and warehousing structures
- Define both tactical (quick wins) and long-term target architecture
- Produce detailed architecture documentation, diagrams, technical recommendations
- Lead ETL/ELT framework implementation ensuring data quality & compliance
- Integrate new data sources and enforce data governance standards
- Communicate architecture decisions to both technical teams and business stakeholders
Requirements:
- 4+ years of hands-on Azure Data Platform experience (must be recent)
- Proven architecture ownership - designed and owned Azure data platforms (not just pipelines)
- Strong Databricks experience with lakehouse architecture
- Experience with Azure Synapse, ADF, Data Lake, Azure SQL
- Data modeling: fact tables, star/dimensional schemas, analytical model optimization
- Batch processing, incremental processing, incremental refresh
- Ability to assess when Azure SQL vs ADF vs Synapse vs Databricks is the right fit
- Works independently, handles ambiguity, delivers tangible output fast
- English C1
‼️ Data Engineers will NOT be considered
‼️ CV must clearly reflect hands-on Azure architecture ownership and Databricks experience