Senior Data Platform & AI Engineer — Remote

Blue Yonder; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Blue Yonder seeks a Principal Data Platform Engineer to own platforms enabling data and AI capabilities, including Power BI, AtScale, and Databricks. This senior IC role combines hands-on platform administration with architecture, cost, and governance decisions for enterprise-scale operations.

The candidate will set standards across a large data organization and influence executive leadership with platform reliability and performance.

Qualifications

• Senior individual contributor with deep hands-on platform administration experience.
• Ability to make architecture, cost, and governance decisions at enterprise scale.
• Ability to set standards across a large data organization without formal authority.

Responsibilities

• Own day-to-day administration, configuration, and health of the enterprise data and AI platform estate (Power BI, AtScale, Databricks).
• Administer Databricks workspaces, Unity Catalog, and security at workspace level.
• Manage Power BI tenant settings, capacity, gateways, and deployment pipelines.
• Administer AtScale semantic models, catalogs, and performance tuning.
• Oversee enterprise AI platform entitlement, workspace structure, and enablement of new capabilities.
• Define upgrade, patch, and release management processes with non-disruptive rollout.

Skills

Platform administration

Enterprise-scale governance

Architecture decisions

Cost controls

CI/CD and IaC

Python or PowerShell

Azure cloud

Identity & security

Databricks administration

Power BI administration

AtScale administration

Semantic layers (AtScale/BI)

SQL performance tuning

Tools

Databricks

Power BI

AtScale

Azure

Unity Catalog

CI/CD tooling

Infrastructure as code

Entra ID / identity

Job description

Blue Yonder seeks a Principal Data Platform Engineer to own platforms enabling data and AI capabilities, including Power BI, AtScale, and Databricks. This senior IC role combines hands-on platform administration with architecture, cost, and governance decisions for enterprise-scale operations.

The candidate will set standards across a large data organization and influence executive leadership with platform reliability and performance.