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Senior Data Architect - Supply Chain

Meta· Analytics
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Sunnyvale, CA$181k - $249kFull-timePosted 3mo ago

About the role

Meta's Reality Labs Supply Chain is seeking a Senior Data Architect to define the target-state performance data architecture for supply chain measurement, including metric models, KPI taxonomies, scorecard frameworks, and alerting architectures to provide a unified view of supply chain performance across planning, manufacturing, logistics, quality, and fulfillment.

Responsibilities

  • Define and maintain the performance data model—a unified schema representing supply chain KPIs across all domains with consistent entity definitions, time grains, and dimensional hierarchies
  • Own the performance layer reference architecture, defining how data flows from source systems through transformation into metric computation engines and serving layers (dashboards, scorecards, alerts, AI agents)
  • Design the metric computation framework with standardized patterns for KPI calculation (actuals vs. targets, rolling averages, period-over-period, statistical process control)
  • Own the KPI taxonomy—the hierarchical structure connecting executive-level metrics (OTIF, total cost, quality index) to operational drivers to root-cause indicators
  • Define metric certification standards and the governance process metrics must pass before appearing in official reporting
  • Design the threshold and target management framework, organizing how targets cascade from VP-level to operational bounds, including seasonal adjustments and plan changes
  • Architect the scorecard computation engine, determining how individual KPIs roll up into composite scores with consistent red/amber/green status for leadership reviews
  • Design the performance alerting framework with threshold-based alerts, trend-break detection, and anomaly identification that distinguish real degradation from noise
  • Drive alignment on metric definitions and measurement standards across all functions and programs without direct authority, serving as the technical authority in architecture reviews
  • Mentor analysts, data engineers, and BI developers in performance data modeling; establish measurement architecture standards that become self-sustaining across the organization

Qualifications

  • 10+ years of experience in data architecture, analytics engineering, or BI platform architecture with progressive scope
  • Experience with dimensional modeling, metric computation frameworks, and performance management system design
  • Experience with modern data platforms (Databricks, Spark, Snowflake, or equivalent) at enterprise scale
  • Experience designing KPI frameworks and measurement systems for complex operations (supply chain, manufacturing, logistics, or comparable)
  • Experience with statistical process control, time-series analytics, and anomaly detection approaches
  • Track record of defining metric governance and KPI standardization across multi-team organizations
  • Experience influencing senior leadership and driving cross-functional alignment without direct authority

Skills

Required:Data architectureDimensional modelingKPI framework designMetrics governance

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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