ppWe 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.
/p h3Key Responsibilities /h3 ul lipDesign and architectDatabricks Lakehouse solutionsfor large-scaleenterprise data platforms.
/p /li lipLead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.
/p /li lipDefine Databricks workspace architecture, clusterstrategies, security models, and operational standards.
/p /li lipDesign and developscalable data pipelinesusingDatabricks, Apache Spark, PySpark, SQL, andDelta Lake.
/p /li lipImplement data ingestionframeworks supporting batchand real-timedata processing.
/p /li lipDesign Delta Lake architectures including: /p ul liDelta tables /li liMedallion architecture (Bronze/Silver/Gold layers) /li liData quality frameworks /li liSchema evolution andoptimization /li /ul /li lipPerform Databricks performancetuning: /p ul liCluster optimization /li liSpark job optimization /li liQuery tuning /li liCost optimization /li /ul /li lipImplement Databricks governanceand security using: /p ul liUnity Catalog /li liAccess controls /li liData lineage /li liAudit capabilities /li /ul /li lipLead migration projectsfrom legacy dataplatforms to DatabricksLakehouse.
/p /li lipDefine best practicesfor Databricks CI/CD, DevOps, andenvironment management.
/p /li lipCollaborate with dataengineers, data scientists, analysts,



and enterprisearchitects.
/p /li lipProvide technical guidance, architecture documentation, and design reviews.
/p /li /ul h3Skills Experience /h3 ul liStrong experience in dataengineering, big data, or solution architecture.
/li liStrong hands-onexperience withDatabricks Platform.
/li liExpert knowledge of: ul liApache Spark /li liPySpark / Scala /li liDelta Lake /li liSQL /li liData Lakehouse architecture /li liETL/ELT development /li /ul /li liExperience designing anddelivering enterprise Databrickssolutions.
/li liStrong experience withcloud platforms: ul liAzure Databricks (preferred) /li liAWS Databricks /li liGoogle Cloud Databricks /li /ul /li liExperience with: ul liDatabricks Workflows /li liJobs orchestration /li liNotebooks /li liRepos /li liCluster management /li liUnity Catalog /li /ul /li /ul h3Preferred Skills /h3 ul liDatabricks Certified DataEngineer Professional /Databricks Certified Architect.
/li liExperience with: ul liMLflow /li liDatabricks Machine Learning /li liFeature Store /li liModel deployment /li liMLOps /li /ul /li liKnowledge of streamingtechnologies: ul liStructured Streaming /li liKafka /li /ul /li liExperience with datagovernance, compliance,and enterprise securityframeworks.
/li /ul h3Key Competencies /h3 ul liStrong Databricks architectureand implementation expertise.
/li liAbility to designscalableand cost-efficientLakehouse solutions.
/li liStrong troubleshooting andperformance optimizationskills.
/li liAbility to leadtechnical discussions withenterprise stakeholders.
/li /ul /p #J-*****-Ljbffr

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