Principal Data Platform Engineer

Job not on LinkedIn

🔥 16 hours ago

🌵 Arizona, Texas – Remote

🌵 Arizona – Remote 🤠 Texas – Remote

💵 $155k - $172.9k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Blue Yonder

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential

📋 Description

• Own day-to-day administration, configuration, and health of the enterprise data and AI platform estate: Power BI, AtScale, Databricks, Microsoft Copilot, and Claude • Administer Databricks workspaces, cluster policies, SQL warehouses, Unity Catalog, service principals, and workspace-level security • Manage the Power BI tenant, including tenant settings, capacity, workspace architecture, data gateways, and deployment pipelines • Administer AtScale, including semantic model deployment, catalog and environment management, aggregate strategy, and query engine tuning • Manage enterprise AI platform entitlements, seats, workspaces, projects, and new capabilities • Define and run upgrade, patch, and release management processes • Own platform availability and performance and serve as senior escalation point for platform incidents • Establish monitoring, alerting, observability, performance baselines, and capacity headroom tracking • Diagnose complex identity, network, compute, and semantic-layer problems to root cause • Support data teams and business users through triage, resolution, and follow-through • Build runbooks, self-service documentation, and enablement materials • Own capacity sizing, compute policies, autoscaling, SKU selection, licensing, and AI spend • Identify and eliminate platform waste and build showback/chargeback reporting • Forecast platform spend and partner with Finance on budget planning and ROI • Implement governance, access models, security, workspace/catalog standards, and content certification • Govern AI data access, connectors, integrations, logging, retention, and auditing • Partner with Security, IT, and Legal on data residency, DLP, audit, and regulatory requirements • Maintain authoritative platform standards, architecture decisions, and configuration baselines • Configure MCP connections, cross-platform connectivity, SSO, service principals, APIs, and gateways • Evaluate, pilot, and productionize platform capabilities and integrations • Manage environment promotion across development, test, and production • Instrument and report on usage, adoption, AI utilization, and license efficiency • Deliver recurring platform health, cost, adoption, and risk reporting to data leadership and executives • Own technical relationships with Microsoft, Databricks, AtScale, and Anthropic • Manage vendor escalations, roadmap reviews, previews, renewals, licensing input, and service-level accountability • Advise Enterprise Data Engineering leadership on strategy, architecture, and build-versus-buy decisions • Set technical standards, represent the platform in architecture/security/AI governance forums, and mentor engineers, analysts, and users

🎯 Requirements

• 8+ years in data platform engineering, platform administration, analytics engineering, or a closely related discipline • 5+ years of hands-on experience administering and engineering enterprise cloud data platforms, including Databricks and Azure, with responsibility for production environments, security, performance, reliability, and cost optimization • 5+ years of hands-on experience administering enterprise analytics and semantic platforms, including Power BI and comparable semantic layer technologies, supporting hundreds of production assets and 1,000+ users • Demonstrated ownership of production data platforms serving a large, distributed user base • Proven track record of measurable cost optimization on cloud data and analytics platforms • Experience establishing governance and technical standards across multiple tools and stakeholder groups • Experience managing enterprise software vendors, including support escalation and input into renewals • History of operating as the most senior technical authority on a platform without direct reports • Expert-level Databricks administration, including Unity Catalog, cluster policies, SQL warehouses, identity and workspace configuration, and cost controls • Deep Power BI tenant and capacity administration experience, including capacity management, gateways, workspace architecture, and deployment pipelines • Hands-on semantic layer platform administration; AtScale strongly preferred • Strong working knowledge of Azure, including Entra ID, networking, storage, private endpoints, and cost management • Expert-level SQL for troubleshooting, performance tuning, and usage analysis • Python and/or PowerShell for platform automation, API-driven administration, and reporting • Comfort with version control, CI/CD, and infrastructure-as-code • Knowledge of SSO, SAML/OAuth, service principals, role-based access control, and data-level security models • Practical experience configuring and governing enterprise AI tooling, connectors, MCP server connections, agent and assistant configuration, and access boundaries • Primarily US business hours availability, with occasional after-hours work for changing windows, upgrades, and critical incidents • Exceptional written and verbal communication • Proven effectiveness in distributed, cross-time-zone teams • Comfort presenting to executive stakeholders and accountability for platform outcomes

🏖️ Benefits

• Comprehensive Medical, Dental and Vision • 401K with Matching • Flexible Time Off • Corporate Fitness Program • Voluntary benefits such as Legal Plans, Accident and Hospital Indemnity, Pet Insurance and more • Annual performance bonus or commission program eligibility