Data Platform Architect (Databricks and Cloud Data Engineering)

Responsibilities

  • Provide architectural guidance across multiple delivery teams to ensure consistent adoption of data platform patterns and engineering standards
  • Participate in agile delivery activities to reinforce alignment with defined operating practices and ensure consistent execution across teams
  • Review implementations across teams to identify inconsistencies, risks, and opportunities for standardization
  • Offer hands-on technical guidance during active development, including direct collaboration with engineers when needed to accelerate delivery and knowledge transfer
  • Guide implementation of modern data architecture practices, including layered data design, ingestion and transformation patterns, governance frameworks, and workflow orchestration
  • Document reusable patterns and best practices in a concise and practical manner during active project work
  • Serve as a key point of coordination between engineering teams and executive stakeholders to maintain alignment on priorities and delivery health
  • Provide visibility into program performance, risks, and architectural decisions through regular updates and reviews
  • Support structured program checkpoints and ensure alignment between technical execution and business objectives
  • Enable long-term sustainability by promoting knowledge transfer and empowering internal teams to independently manage and evolve the data platform

Required Experience and Skills

  • Strong hands-on experience designing and implementing production-grade data platforms using Databricks
  • Deep understanding of layered data architecture, data ingestion strategies, transformation patterns, governance models, and workflow orchestration
  • Proven experience providing architectural leadership across multiple agile delivery teams or pod-based models
  • Ability to assess technical feasibility and evaluate incoming data and project requirements early in the intake process
  • Strong communication skills with the ability to effectively engage both senior stakeholders and hands-on engineering teams
  • Experience identifying risks, aligning technical solutions with business priorities, and driving consistent implementation across distributed teams

Preferred Experience and Skills

  • Experience working in regulated or compliance-driven environments such as healthcare, financial services, life sciences, or public sector
  • Background in data strategy, governance, and platform standardization
  • Experience in advisory or consulting roles supporting enterprise-level platform initiatives
  • Demonstrated success enabling teams to adopt standardized patterns and operate independently over time

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