Principal Platform Engineer - Azure Data & AI Platform Engineer

About the role

This role will function as a Senior Principal Engineer for Azure Data as a Service (DaaS) and Azure AI Infrastructure team. The position is responsible for researching, evaluating, designing, implementing, and maintaining enterprise Azure Data and AI platform solutions that are secure, scalable, resilient, and cost-optimized. This role requires deep and broad engineering experience with Microsoft Azure Data and Azure AI technology, with expertise in security, governance, and operational excellence. Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. - FORTUNE 100 Best Companies to Work For® 2026 - Yello and WayUp Top 100 Internship Programs 2025 - Computerworld® Best Places to Work in IT 2026 - Most Loved Workplace - America's Top Most Loved Workplaces® 2025 - 2025 PEOPLE® Companies That Care - Newsweek Most Trustworthy Companies in America 2026 - Military Times 2025 Best for Vets Employers - Forbes® 2026 America's Best Large Employers - Forbes® 2025 America's Best Employers for New Grads - Forbes® 2025 America's Best Employers for Tech Workers - 2025 RippleMatch Campus Forward Award Winner for Overall Excellence - Military.com Top Military Spouse Employers 2025 - 2026 Handshake Early Talent Award - Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026 From Fortune Magazine. © 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protect

Responsibilities

• 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

• 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).
• 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

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