ETS Senior Engineer - Azure Databricks & Data Platform Engineer

Navy Federal Credit UnionVienna, VirginiaHybridFull-timeSenior, 5–8 yearsListed 22 hours ago

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About this role

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Senior Engineer will be a key member of the Azure Data as a Service (DaaS) team responsible for designing, implementing, supporting, and optimizing Azure-based data platforms and services. The role will initially focus on Azure Databricks platform engineering and operations while also supporting broader Azure data services, automation, governance, security, and cloud modernization initiatives.

- Hands-on experience designing, implementing, and supporting Azure data platforms, including Azure Databricks and services such as ADLS Gen2, Azure SQL, Azure Data Factory, Cosmos DB, and similar technologies.
- Experience administering Azure Databricks, including cluster management, performance optimization, Unity Catalog, and Lakehouse architecture.
- Experience with cloud security, governance, and data management, including access controls, metadata management, cataloging, and data lineage.
- Experience troubleshooting and optimizing cloud platforms, databases, and data processing workloads.
- Experience with Infrastructure as Code (IaC), automation, and DevOps using Bicep, Terraform, Ansible, or similar tools.
- Strong analytical, problem-solving, communication, and collaboration skills with the ability to work across technical and business Desired Qualifications

Desired Qualifications

- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent combination of education and experience.
- Experience with data governance, metadata management, or data catalog solutions such as Microsoft Purview, Alation, Atacaama, Collibra, or similar technologies.
- Exposure to AI/ML platforms, AI Foundry, or modern analytics and data science workloads.
- Experience with cloud cost optimization, FinOps practices, or capacity planning.
- Microsoft Azure certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert, or related certifications.

Additional Information

Hours:

- Monday - Friday, 8:00AM - 4:30PM

Location:

- 820 Follin Lane, Vienna, VA 22180
- 5510 Heritage Oaks Drive, Pensacola, FL 32526
- 141 Security Drive, Winchester, VA 22602