Senior Databricks Solution Architect
Pubblicato il 12-10-2026 - Unison Group in Romanina
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 solutions for 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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