Senior Databricks Solution Architect

Senior Databricks Solution Architect Unison Group Norwich, England, GB

We are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform. The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.

Key Responsibilities

• Design and architect Databricks Lakehouse solutions for large-scale enterprise data platforms.
• Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.
• Define Databricks workspace architecture, cluster strategies, security models, and operational standards.
• Design and develop scalable data pipelines using Databricks, Apache Spark, PySpark, SQL, and Delta Lake.
• Implement data ingestion frameworks supporting batch and real-time data processing.
• Design Delta Lake architectures including:
• Medallion architecture (Bronze/Silver/Gold layers)
• Data quality frameworks
• Schema evolution and optimization
• Perform Databricks performance tuning:
• Spark job optimization
• Query tuning
• Implement Databricks governance and security using:
• Unity Catalog
• Access controls
• Audit capabilities
• Lead migration projects from legacy data platforms to Databricks Lakehouse.
• Define best practices for Databricks CI/CD, DevOps, and environment management.
• Collaborate with data engineers, data scientists, analysts, and enterprise architects.
• Provide technical guidance, architecture documentation, and design reviews.

Skills & Experience

• Strong hands-on experience with Databricks Platform.
• Expert knowledge of:
• PySpark / Scala
• SQL
• Data Lakehouse architecture
• Experience designing and delivering enterprise Databricks solutions.
• Strong experience with cloud platforms:
• AWS Databricks
• Experience with:
• Databricks Workflows
• Jobs orchestration
• Notebooks
• Repos
• Cluster management
• Unity Catalog

Preferred Skills

• Databricks Certified Data Engineer Professional / Databricks Certified Architect.
• Experience with:
• MLflow
• Feature Store
• MLOps
• Knowledge of streaming technologies:
• Structured Streaming
• Kafka
• Experience with data governance, compliance, and enterprise security frameworks.
• Strong Databricks architecture and implementation expertise.
• Ability to design scalable and cost-efficient Lakehouse solutions.
• Strong troubleshooting and performance optimization skills.
• Ability to lead technical discussions with enterprise stakeholders.

Full-time