Tharu Technologies
Senior Databricks Platform Engineer
US · Senior · full-time, part-time, contract, third party
Sponsorship not specifiedDetected 33 days ago
PythonScalaGitSQLDatabricksAzureCloud PlatformsKubernetesTerraformCI/CDDatadogDevOpsPlatform EngineeringSparkData EngineeringData ScienceUnityCommunicationCollaboration
About the role
- This engineer will work closely with: cloud platform teams DevOps organizations infrastructure engineering teams application modernization groups data and analytics stakeholders The role requires strong awareness of how Databricks modernization activities impact: existing CI/CD pipelines automation frameworks operational governance enterprise cloud platform standards Key Responsibilities Databricks Platform Engineering & Operations Support architecture and operational engineering across enterprise Databricks environments Design and maintain scalable Lakehouse, Delta Lake, and Unity Catalog solutions Support administration of: Databricks Workspaces Jobs Notebooks Clusters Optimize Spark workloads, cluster configurations, and platform performance Support batch and streaming data processing workloads Assist with multi-environment platform management across Dev, QA, and Production Platform Integration & DevOps Alignment Support integration of Databricks platforms with Azure-native ecosystems and enterprise applications Work across integrations involving: APIs Azure Storage Accounts Data Lakes reporting and analytics platforms Collaborate with platform and DevOps teams to align Databricks activities with existing CI/CD and automation standards Support deployment workflows utilizing: GitHub Azure DevOps Infrastructure as Code frameworks Help ensure modernization activities do not disrupt existing automated deployment pipelines and operational processes Governance, Reliability & Platform Support Support governance, access management, monitoring, logging, and operational security practices Assist with implementation of: RBAC lineage encryption platform governance controls Participate in troubleshooting, operational support, and root cause analysis activities Contribute to documentation, operational standards, and platform best practices Required Qualifications 6+ years of experience within cloud, platform engineering, data engineering, or enterprise analytics ecosystems 3+ years of hands-on experience supporting enterprise Databricks environments Strong experience with: Delta Lake Unity Catalog Spark workloads cluster operations Databricks Workspaces Experience with Azure cloud services and cloud-native platform concepts Familiarity with: Azure DevOps GitHub workflows CI/CD pipeline concepts deployment automation Experience supporting APIs, distributed application integrations, and enterprise data platforms Strong troubleshooting and operational support capabilities Strong communication and stakeholder collaboration skills Preferred Qualifications Experience with: PySpark Python SQL Spark SQL Scala Familiarity with: AKS/Kubernetes Terraform Bicep Infrastructure as Code practices Experience with: Azure Data Lake Event Hub streaming architectures enterprise analytics environments Familiarity with monitoring and observability platforms such as: Azure Monitor Datadog Exposure to enterprise modernization and cloud migration initiatives What This Role Is A hands-on enterprise Databricks platform engineering role A modernization-focused engineering opportunity within a large Azure ecosystem A hybrid role spanning cloud integration, operational engineering, and DevOps-aware platform support A collaborative engineering role supporting scalable enterprise data and analytics platforms What This Role Is Not A pure data scientist or analytics-only role A narrowly scoped ETL development position
Responsibilities
- The Senior Databricks Platform Engineer will support the design, operational enablement, modernization, and ongoing support of enterprise Databricks platforms and associated data processing environments.
Requirements
- Delta Lake Unity Catalog Spark workloads cluster operations Databricks Workspaces Experience with
- Familiarity with monitoring and observability platforms such as:
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