Director, Data Architecture

Overview

The Director, Data Architecture will own the design and implementation of our Databricks Lakehouse architecture, including bronze/silver/gold layers, dimensional modeling, data governance, and production-grade pipelines. This role ensures that our data is trusted, accessible, and actionable for business units across Operations, Finance, Marketing, and beyond.

• Architect & Implement Lakehouse Standards
  • Define and enforce bronze/silver/gold layer standards in Databricks.
  • Design conformed dimensional models (e.g., , , ) and star-schema gold marts.
• Governance & Compliance
  • Implement Unity Catalog for access control, lineage, and PII classification.
  • Establish data contracts, schema evolution policies, and metric governance processes.
• Pipeline Development
  • Build production-grade pipelines using Delta Lake, Databricks Workflows, and Delta Live Tables.
  • Implement CDC and SCD Type 2 patterns for dimensions and facts.
• Enable Analytics & BI
  • Deliver curated datasets and semantic layers for Power BI and Databricks SQL.
  • Define and maintain KPI catalog for consistent business reporting.
• Operational Excellence
  • Stand up data quality checks, observability dashboards, and incident runbooks.
  • Drive CI/CD best practices for data (Git Ops, automated testing, environment promotion).
• Leadership & Collaboration
  • Act as Data Product Owner for core domains (Service Ops, Finance, Marketing).
  • Partner with IT, Security, and business stakeholders to align data strategy with corporate goals.

• 7+ years in data architecture or analytics engineering, with at least 2 years in Databricks Lakehouse (Delta Lake, Unity Catalog, Workflows).
• Expert in dimensional modeling (Kimball), CDC, and SCD Type 2 implementations.
• Strong experience with CI/CD for data pipelines and governance frameworks.
• Proven ability to establish data contracts and manage schema evolution.
• Excellent communication and stakeholder management skills.

• Experience in field services, HVAC, plumbing, or similar industries.
• Familiarity with Power BI semantic modeling and performance tuning.
• Knowledge of dbt or similar transformation frameworks.