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 CatalogPreferred 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.#J-18808-Ljbffr

📌 Senior Databricks Solution Architect (Roma)
🏢 Unison Group
📍 Roma