Navy Federal Credit Union
Navy Federal Credit Union
Navy Federal Credit Union is a member-owned financial institution serving more than 14 million members, primarily from the Armed Forces, Department of Defense, veteran communities, and their families. As the world’s largest credit union, it provides banking and financial services through a workforce of more than 24,000 employees across campuses and over 360 branches. Its career opportunities support the organization’s mission of delivering high-quality service to its members, with an emphasis on meaningful work experiences and competitive employee benefits.

Senior Azure Databricks Data Platform Engineer

Navy Federal Credit Union is seeking a senior engineer to operate Azure Databricks and related data platforms. The role focuses on governance, security, automation, troubleshooting, and cloud modernization.

Description

  • Manage and optimize Azure Databricks environments, including workspace settings, clusters, and workload monitoring
  • Support Lakehouse architectures and data solutions built with Azure Databricks and Azure Data Lake Storage
  • Improve platform performance through cluster tuning, Delta Lake optimization, and workload analysis
  • Diagnose and resolve Databricks, data pipeline, and performance problems
  • Implement Unity Catalog, access controls, and data governance capabilities
  • Maintain Azure security controls such as RBAC, managed identities, private endpoints, Key Vault, and Azure Policy
  • Track platform usage and identify cost-reduction and operational-efficiency opportunities
  • Support Azure Data Factory, Azure SQL Database, Azure Cosmos DB, Azure Database for PostgreSQL, and Azure Synapse Analytics
  • Monitor the health, availability, reliability, and performance of Azure data services
  • Investigate incidents and coordinate with infrastructure, networking, security, and engineering teams
  • Build and support ETL/ELT processes and data integration solutions
  • Create automation and Infrastructure as Code using Bicep, Terraform, Azure DevOps, and Git-based CI/CD
  • Advise application teams as they adopt Azure data platform services
  • Take part in an on-call rotation covering business and non-business hours

Requirements

  • Practical experience designing, implementing, and supporting Azure data platforms, including Azure Databricks, ADLS Gen2, Azure SQL, Azure Data Factory, and Cosmos DB
  • Experience administering Azure Databricks, including cluster management, performance tuning, Unity Catalog, and Lakehouse architecture
  • Background in cloud security, governance, and data management, including access controls, metadata, catalogs, and lineage
  • Experience diagnosing and optimizing cloud platforms, databases, and data-processing workloads
  • Experience with Infrastructure as Code, automation, and DevOps using Bicep, Terraform, Ansible, or comparable tools
  • Strong analytical, problem-solving, communication, and teamwork abilities
  • Authorization to work in the United States without current or future sponsorship
  • Bachelor’s degree in computer science, information technology, engineering, or a related discipline, or an equivalent combination of education and experience (desired)
  • Experience with Microsoft Purview, Alation, Ataccama, Collibra, or comparable data catalog platforms (desired)
  • Exposure to AI/ML platforms, AI Foundry, or modern analytics and data science workloads (desired)
  • Experience with cloud cost optimization, FinOps, or capacity planning (desired)
  • Microsoft Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert (desired)

Benefits

  • Competitive compensation
  • Comprehensive benefits and additional perks
  • Monday through Friday schedule, 8:00 AM to 4:30 PM

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