Principal Data Platform Engineer

Overview As a Principal Data Platform Engineer, you own the platforms that power Blue Yonder's data and AI capabilities, including Databricks, AtScale, and Power BI. You ensure performance, reliability and accessibility at enterprise scale, balancing hands-on engineering with architecture and governance decisions. You will set standards across a large data organization and influence platform direction with executive visibility. This role offers the chance to shape how the enterprise sees, decides, and acts through data and AI tooling. Compensation / BenefitsComprehensive Medical, Dental and Vision401K with MatchingFlexible Time OffCorporate Fitness ProgramVoluntary benefits (Legal Plans, Accident and Hospital Indemnity, Pet Insurance) ResponsibilitiesAdminister and optimize Databricks (Unity Catalog, cluster policies, SQL warehouses, security)Manage Power BI tenant, capacity, gateways, architecture, and deployment pipelinesAdminister AtScale (semantic model, catalog, environment, aggregates, query tuning)Oversee enterprise AI platform layer (entitlement, workspace, project structure)Plan and execute upgrade, patch, and release management with minimal user disruptionOwn platform reliability and performance; serve as escalation point for incidentsImplement monitoring, observability, and capacity planning across the estateDevelop runbooks and self-service docs to reduce recurring supportOwn the platform cost model (capacity sizing, autoscaling, licensing, spend)Govern platform governance and security across tools and AI layerConfigure integrations (MCP, SSO, service principals, API) and manage environment promotionInstrument usage analytics and deliver leadership-facing reportsManage vendor relationships with Microsoft, Databricks, AtScale, AnthropicProvide technical leadership and influence on platform strategy and architectureMentor engineers, analysts, and users on platform useCollaborate with Security, IT, and Legal on data residency and compliance Key requirements8+ years in data platform engineering or related field5+ years administering Databricks and Azure-based platforms in production5+ years administering Power BI and semantic layer platforms at scaleProven track record delivering cost optimization for cloud data platformsExperience establishing governance and technical standards across multiple toolsExperience managing enterprise software vendors and renewalsHistory of acting as senior technical authority without direct reportsexceptional written and verbal communicationability to justify capacity decisions to finance leaderscollaboration across distributed teams and time zonesDatabricks administration (Unity Catalog, clusters, SQL warehouses, security)Power BI tenant administration, capacity management, gateways, deployment pipelinesAtScale semantic modeling and environment management