Senior Databricks Solution Architect

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ppWe are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using thebDatabricks Lakehouse Platform /b.
The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.
/p h3bKey Responsibilities /b /h3 ul liDesign and architectbDatabricks Lakehouse solutions /bfor large-scaleenterprise data platforms.
/li liLead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.
/li liDefine Databricks workspace architecture, clusterstrategies, security models, and operational standards.
/li liDesign and developscalable data pipelinesusingbDatabricks, Apache Spark, PySpark, SQL, andDelta Lake /b.
/li liImplement data ingestionframeworks supporting batchand real-timedata processing.
/li liDesign Delta Lake architectures including: /li ul liDelta tables /li liMedallion architecture (Bronze/Silver/Gold layers) /li liData quality frameworks /li liSchema evolution andoptimization /li /ul liPerform Databricks performancetuning: /li ul liCluster optimization /li liSpark job optimization /li liQuery tuning /li liCost optimization /li /ul liImplement Databricks governanceand security using: /li ul liUnity Catalog /li liAccess controls /li liData lineage /li liAudit capabilities /li /ul liLead migration projectsfrom legacy dataplatforms to DatabricksLakehouse.
/li liDefine best practicesfor Databricks CI/CD, DevOps, andenvironment management.
/li liCollaborate with dataengineers, data scientists, analysts,



and enterprisearchitects.
/li liProvide technical guidance, architecture documentation, and design reviews.
/li /ul h3bSkills Experience /b /h3 ul liStrong experience in dataengineering, big data, or solution architecture.
/li liStrong hands-onexperience withbDatabricks Platform /b.
/li liExpert knowledge of: /li ul liApache Spark /li liPySpark / Scala /li liDelta Lake /li liSQL /li liData Lakehouse architecture /li liETL/ELT development /li /ul liExperience designing anddelivering enterprise Databrickssolutions.
/li liStrong experience withcloud platforms: /li ul liAzure Databricks (preferred) /li liAWS Databricks /li liGoogle Cloud Databricks /li /ul liExperience with: /li ul liDatabricks Workflows /li liJobs orchestration /li liNotebooks /li liRepos /li liCluster management /li liUnity Catalog /li /ul /ul h3bPreferred Skills /b /h3 ul liDatabricks Certified DataEngineer Professional /Databricks Certified Architect.
/li liExperience with: /li ul liMLflow /li liDatabricks Machine Learning /li liFeature Store /li liModel deployment /li liMLOps /li /ul liKnowledge of streamingtechnologies: /li ul liStructured Streaming /li liKafka /li /ul liExperience with datagovernance, compliance,and enterprise securityframeworks.
/li /ul h3bKey Competencies /b /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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7lbyy8