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, Py Spark, SQL, and Delta 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 Databricks Lakehouse.
Define best practicesfor Databricks CI/CD, Dev Ops, 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 Py Spark / 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 Data Engineer 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-efficient Lakehouse solutions.
Strong troubleshooting andperformance optimizationskills.
Ability to leadtechnical discussions withenterprise stakeholders.
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📌 Senior Databricks Solution Architect (Roma)
🏢 Unison Group
📍 Roma