Databricks Architect

About the role

Adastran is looking for a highly skilled Databricks Architect to join its growing data team. You will design modern, scalable and secure lakehouse platforms on Databricks, mainly within the Microsoft Azure ecosystem, and work with business stakeholders, solution architects, data engineers, data scientists and analysts to define data and AI strategies. The position is open only to applicants located in Europe; the contract is in Slovakia (from €3,800 gross per month) or B2B cooperation for other European countries.

Key responsibilities

• Design secure, scalable lakehouse platforms and analytics solutions on Databricks and Azure.
• Lead architecture for data lakes, lakehouses, warehouses and AI/ML platforms (Delta Lake, Unity Catalog, Lakeflow, Workflows, Databricks SQL, MLflow, Data Factory, Synapse, Power BI).
• Implement Medallion Architecture and data governance, including access control, lineage and data sharing.
• Translate business requirements into end-to-end architectures and implementation roadmaps, and set architecture standards and design patterns.
• Provide technical leadership to delivery teams, run architecture reviews and workshops, and optimize workloads for performance and cost.
• Support cloud adoption and migration to Databricks (from legacy DWH, Hadoop or Synapse) and advise on security and cost efficiency.

Required profile

• 5+ years designing and implementing cloud data platforms as a Data Architect or Senior Data Engineer, with hands-on production Databricks experience.
• Strong experience with Azure data services and cloud-native architectures, and with lakehouse, data warehouse and analytics solutions.
• Solid knowledge of data modeling (Kimball, Inmon, Medallion) and ETL/ELT principles.
• Excellent communication and stakeholder management skills, and willingness to travel occasionally to Bratislava.

Required skills

• Databricks Lakehouse Platform (Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables, Workflows, Databricks SQL)
• Azure services (ADLS, Data Factory, Azure SQL, Synapse) and Entra ID, RBAC, private networking
• SQL and PySpark, including Spark performance tuning
• Git, CI/CD, Infrastructure as Code (Terraform, Databricks Asset Bundles) and DevOps practices
• Nice to have: Microsoft Fabric, Power BI, MLflow, MLOps, GenAI/ML workloads, and Databricks certifications

What we offer

• Professional growth, personalized development plans and access to training and certifications
• Competitive salary and bonus structure
• Potential to work on international projects