We are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using theDatabricks 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 architectDatabricks Lakehouse solutionsfor large-scaleenterprise data platforms.
- Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.
- Define Databricks workspace architecture, clusterstrategies, security models, and operational standards.
- Design and developscalable data pipelinesusingDatabricks, Apache Spark, PySpark, SQL, andDelta Lake.
- Implement data ingestionframeworks supporting batchand real-timedata processing.
- Design Delta Lake architectures including:
- Delta tables
- Medallion architecture (Bronze/Silver/Gold layers)
- Data quality frameworks
- Schema evolution andoptimization
- Perform Databricks performancetuning:
- Cluster optimization
- Spark job optimization
- Query tuning
- Cost optimization
- Implement Databricks governanceand security using:
- Unity Catalog
- Access controls
- Data lineage
- Audit capabilities
- Lead migration projectsfrom legacy dataplatforms to DatabricksLakehouse.
- Define best practicesfor Databricks CI/CD, DevOps, andenvironment management.
- Collaborate with dataengineers, data scientists, analysts, and enterprisearchitects.
- Provide technical guidance, architecture documentation, and design reviews.
Skills & Experience
- Strong experience in dataengineering, big data, or solution architecture.
- Strong hands-onexperience withDatabricks Platform.
- Expert knowledge of:
- Apache Spark
- PySpark / Scala
- Delta Lake
- SQL
- Data Lakehouse architecture
- ETL/ELT development
- Experience designing anddelivering enterprise Databrickssolutions.
- Strong experience withcloud platforms:
- Azure Databricks (preferred)
- AWS Databricks
- Google Cloud Databricks
- Experience with:
- Databricks Workflows
- Jobs orchestration
- Notebooks
- Repos
- Cluster management
- Unity Catalog
Preferred Skills
- Databricks Certified DataEngineer Professional /Databricks Certified Architect.
- Experience with:
- MLflow
- Databricks Machine Learning
- Feature Store
- Model deployment
- MLOps
- Knowledge of streamingtechnologies:
- Structured Streaming
- Kafka
- Experience with datagovernance, compliance,and enterprise securityframeworks.
Key Competencies
- Strong Databricks architectureand implementation expertise.
- Ability to designscalableand cost-efficientLakehouse solutions.
- Strong troubleshooting andperformance optimizationskills.
- Ability to leadtechnical discussions withenterprise stakeholders.
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Senior Databricks Solution Architect in Norwich employer: UNISON Group
Unison Group is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI and data solutions. With a focus on employee growth, we offer opportunities for professional development and the chance to lead transformative projects in a dynamic environment. Located in Australia, our team enjoys a supportive atmosphere that values creativity and teamwork, making it an ideal place for meaningful and rewarding employment.
