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. xcldrub Ability to leadtechnical discussions withenterprise stakeholders.

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📌 Senior databricks solution architect (Gallicano Nel Lazio)
🏢 Unison Group
📍 Gallicano Nel Lazio