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Senior Data Architect - Supply Chain

Meta
Sunnyvale, USA
Full-time
Senior · 10+ years experience
Onsite
USD 181000-249000 yearly / year
Discovered 1 weeks ago
DatabricksSparkSnowflake
Free

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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) that replace ad-hoc approaches
  • 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

Minimum 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

Preferred Qualifications

  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Supply chain or manufacturing performance management experience (SCOR model, OTD/OTIF measurement, yield tracking)
  • Experience translating complex measurement architecture into business impact for non-technical audiences
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with AI/ML approaches for anomaly detection in operational metrics
  • Experience with real-time and near-real-time data architectures (streaming, CDC, event-driven patterns)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Compensation

  • $181,000/year - $249,000/year; Country: US; Bonus eligible; Equity eligible

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