Principal Platform Engineer – Azure Data, AI

Navy Federal Credit Union

Senior Principal Engineer for Azure Data and AI solutions at Navy Federal. Researching and maintaining enterprise Azure Data and AI platform solutions for scalability and security.

Posted 5/21/2026full-timeVienna • Florida, Virginia • 🇺🇸 United StatesLead💰 $131,700 - $206,450 per yearWebsite

Tech Stack

Tools & technologies

AzureSQLTerraformVault

About the role

Key responsibilities & impact

Apply engineering principles to the design, enhancement, and operation of Azure Data and AI platform services.
Research, procure, deploy, configure, and support Azure Data and AI resources including platform dependencies.
Provide technical leadership in the architecture, design, and development of enterprise Azure Data and AI solutions.
Ensure the security and integrity of system and product solutions through secure-by-design architecture.
Anticipate and adjust for potential impact of platform changes, upgrades, and new service capabilities.
Anticipate, investigate, and resolve data platform performance and reliability issues by collaborating with Azure Infrastructure teams to identify root causes and implement improvements.
Provide guidance and technical support to customers onboarding applications to the Azure platform, assisting with Azure data service selection and usage to enable successful business outcomes.
Implement and enhance monitoring, logging, and alerting for Azure Data and AI platforms to support operational excellence and proactive issue detection.
Document new platform components and modifications to existing services and publishing standards.
Engineer Infrastructure as Code (IaC) deployments for Azure Data and AI resources.
Present clear, organized, and concise technical information to enable business decisions.
Lead, guide, and mentor less experienced engineers.
Participate in on-call rotation to provide support for business applications during business and off‑business hours.

Requirements

What you’ll need

Bachelor’s degree in computer science, Information Security, or related field, or the equivalent education, training, and experience is desired.
Hands on experience designing, implementing and maintaining Azure Data PaaS services including Azure SQL, Synapse, Data Factory, Databricks, and ADLS Gen2.
Advanced expertise in configuring Azure security and governance using Azure Policy, RBAC, Private Endpoints, and Key Vault.
Experience in Azure cost optimization and capacity planning.
Strong verbal and written communication skills.
Proven ability to manage full-life-cycle IT initiatives.
Working knowledge of Infrastructure as Code (IaC) deployments using Azure Pipelines and/or terraform.
Experience with Azure AI services including Azure AI Foundry and AI Projects.
Exposure to AI/ML platform enablement or governance.
Microsoft Azure certifications (Data Engineer, Solutions Architect, or equivalent).

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Azure Data PaaS servicesAzure SQLAzure SynapseAzure Data FactoryDatabricksADLS Gen2Infrastructure as Code (IaC)Azure PipelinesterraformAzure AI services

Soft Skills

technical leadershipcommunication skillsmentoringproblem-solvingcollaborationorganizational skillsguidancedocumentationpresentation skillscustomer support

Certifications

Microsoft Azure Data EngineerMicrosoft Azure Solutions Architect