Data Architect - Databricks / Azure

AI overview

Lead the design of data consumption architectures for Azure Databricks to enhance governance and streamline data processes across multiple teams.

About Our Client

Johnson & Johnson is one of the world’s most respected and innovative healthcare companies, dedicated to improving the health and well-being of people everywhere. With a global presence across pharmaceuticals, medical devices, and consumer health, J&J is known for combining science, technology, and design to deliver impactful solutions.

About the Role

We’re looking for a senior architect/lead to standardize how multiple teams consume data from an Azure Databricks-based data lake. Today, different teams are using different approaches, creating duplicated pipelines, weak transparency on usage, and governance/security risk. You’ll assess the current state, define a small set of recommended design patterns for data consumption, and propose a simplified future-state architecture (with a strong focus on Azure Databricks + Power BI).

Contract: interim engagement (expected ~3–4 months), extension possible based on impact.

What You’ll Do

  • Assess the current data consumption landscape (multiple teams/pillars, multiple approaches).
  • Define and document recommended architecture patterns to consume data from Azure Databricks (repeatable “reference designs”).
  • Reduce pipeline sprawl by recommending simplifications across ETL/data movement steps (where feasible).
  • Improve transparency/traceability of data usage (governance/lineage mindset).
  • Align with highly technical stakeholders (data engineering/data science/platform teams) and present recommendations clearly.
  • Support adoption planning: rollout approach, risks, and operating model suggestions (what skills/team shape is needed).

Requirements

  • Strong, hands-on experience with Azure Databricks in production environments.
  • Proven experience designing data consumption architectures/patterns used across multiple teams (not just building one-off pipelines).
  • Solid ETL / data pipeline architecture knowledge (designing, simplifying, governing).
  • Strong SQL and experience with downstream consumption layers (SQL Server in the data path is a big plus).
  • Power BI familiarity (as the key reporting/consumption layer).
  • Senior stakeholder communication skills (can work with very technical teams and drive architectural clarity).

Nice to Have

  • Databricks Unity Catalog experience (governance/catalog/permissions).
  • Experience building or formalizing a semantic layer.

Benefits

  • High-impact architecture work: you’ll set patterns that multiple teams will adopt.
  • Enterprise-scale environment with modern data stack (Azure + Databricks).
  • Fully remote contractor role (LATAM-friendly)
  • Opportunity to work with a global healthcare leader
  • High chance of extension after the initial contract

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