Data Architect

Required Skills & Experience (Must Have)

• 12+ years of overall IT experience, with significant experience in enterprise data architecture, data engineering architecture or analytics platform architecture.
• Strong experience designing and implementing enterprise data and analytics architectures on Databricks.
• Strong understanding and practical experience with:
  • Databricks Lakehouse architecture.
  • Medallion Architecture (Bronze, Silver and Gold) or equivalent data-layering patterns.
  • Databricks Unity Catalog.
  • Data governance, metadata management and data lineage.
• Experience defining canonical data schemas, data models and source-system onboarding patterns.
• Strong understanding of enterprise data integration and experience designing integration patterns across:
  • Git platforms.
  • Azure DevOps.
  • CI/CD pipelines and engineering toolchains.
• Ability to define architectural boundaries between data platform transformations and downstream analytics/reporting tools.
• Experience producing enterprise reference architectures, solution architecture documents and technical design recommendations.
• Experience preparing architecture documentation and technical inputs for security architecture reviews.
• Strong understanding of enterprise data governance, access control, data security and integration considerations.
• Proven ability to provide technical leadership and architectural guidance to engineering teams without requiring direct people-management responsibilities.
• Strong communication and stakeholder management skills.

Strongly Preferred Skills & Experience

• Experience with process mining or object-centric data modelling.
• Hands-on experience with Celonis or Bloomfilter.
• Understanding of zero-copy or federated query patterns between a lakehouse and an analytics platform.
• Awareness of Microsoft Fabric and its integration with enterprise lakehouse architectures.
• Experience designing Power BI semantic models and enterprise analytics consumption layers.
• Experience with persona-based or tiered dashboard architecture for different stakeholder groups.
• Previous experience in developer productivity analytics, engineering intelligence or software engineering analytics.
• Understanding of engineering metrics and data from Git, Azure DevOps, CI/CD and related development platforms.