Senior Databricks Solution Architect

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 ResponsibilitiesDesign 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 tablesMedallion architecture (Bronze/Silver/Gold layers)Data quality frameworksSchema evolution andoptimizationPerform Databricks performancetuning:Cluster optimizationSpark job optimizationQuery tuningCost optimizationImplement Databricks governanceand security using:Unity CatalogAccess controlsData lineageAudit capabilitiesLead 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 & ExperienceStrong experience in dataengineering, big data, or solution architecture.Strong hands-onexperience withDatabricks Platform.Expert knowledge of:Apache SparkPySpark / ScalaDelta LakeSQLData Lakehouse architectureETL/ELT developmentExperience designing anddelivering enterprise Databrickssolutions.Strong experience withcloud platforms:Azure Databricks (preferred)AWS DatabricksGoogle Cloud DatabricksExperience with:Databricks WorkflowsJobs orchestrationNotebooksReposCluster managementUnity CatalogPreferred SkillsDatabricks Certified DataEngineer Professional /Databricks Certified Architect.Experience with:MLflowDatabricks Machine LearningFeature StoreModel deploymentMLOpsKnowledge of streamingtechnologies:Structured StreamingKafkaExperience with datagovernance, compliance,and enterprise securityframeworks.Key CompetenciesStrong Databricks architectureand implementation expertise.Ability to designscalableand cost-efficientLakehouse solutions.Strong troubleshooting andperformance optimizationskills.Ability to leadtechnical discussions withenterprise stakeholders.

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