Azure Databricks Architect with Oil & Gas ExpLocation Houston TX onsite Role SummaryLead the design development and optimization of enterprisescale data platforms and analytics solutions using Azure Databricks Drive data engineering best practices mentor team members and collaborate with business stakeholders to deliver scalable secure and highperformance data solutions This aligns with Chevrons Azurebased Data Analytics ecosystemKey ResponsibilitiesLead the development of scalable data pipelines and ETLELT frameworks using Azure Databricks and PySparkArchitect and optimize data ingestion transformation and consumption layersDesign data models data dictionaries and reusable data productsImplement data governance quality security and compliance standardsOptimize Spark workloads Databricks jobs and overall platform performanceCollaborate with business users data scientists and crossfunctional teams to translate requirements into technical solutionsMentor and guide data engineers and junior team membersDrive CICD automation and DevOps best practices for data platformsSupport Data Lakehouse architecture and enterprise analytics initiativesRequired SkillsAzure DatabricksPySpark Apache SparkPythonSQL TSQLAzure Data Factory ADFAzure Data Lake Storage ADLSAzure Synapse AnalyticsDelta LakeDatabricks WorkflowsData Modeling Data WarehousingAzure DevOpsData Governance SecurityPerformance Tuning and OptimizationCICD and Automation FrameworksExperience10 years in Data Engineering Data Platform deliveryStrong experience leading Azurebased cloud data transformation programsProven expertise in enterprisescale Databricks implementationsExperience mentoring teams and driving technical governancePreferred SkillsUnity CatalogAirflowPower BILakehouse ArchitectureDataOpsMLOps exposureStakeholder management and clientfacing communication
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DescriptionKforce has a client that is seeking a Databricks Engineer in Purchase, NY.Overview:We are seeking a skilled Mid-Level Databricks Engineer to join our data engineering team. The ideal candidate will play a key role in the migration of Hadoop workloads to the...