Senior Lakehouse Solution Architect & Platform Administrator (Azure Databricks)

Medasource • United State
Remote
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AI Summary

Design and implement a hardened, stable, and observable Azure Databricks Lakehouse to support enterprise clinical, financial, operational, and analytical workloads. Provide hands-on technical leadership and mentor distributed data engineers. Partner with Enterprise Architecture and Security to ensure alignment on identity, access, networking, encryption, and compliance.

Key Highlights
Design and implement a hardened, stable, and observable Azure Databricks Lakehouse
Provide hands-on technical leadership and mentor distributed data engineers
Partner with Enterprise Architecture and Security to ensure alignment on identity, access, networking, encryption, and compliance
Technical Skills Required
Azure Databricks Unity Catalog Azure Data Factory SQL Python CI/CD pipelines Azure DevOps GitHub Enterprise Terraform Infrastructure as Code
Benefits & Perks
100% remote work
40 hours/week
6-month contract-to-hire

Job Description


Senior Lakehouse Solution Architect & Platform Administrator (Azure Databricks)

6-Month Contract-to-hire

100% Remote

40 hrs/week

Start Date: 01/12/26

Job Description

Our client is building a mission-critical Azure Databricks Lakehouse to support enterprise clinical, financial, operational, and analytical workloads. We are seeking a Senior Lakehouse Solution Architect & Platform Administrator to serve as a foundational member of the Lakehouse engineering team and provide hands-on technical leadership during the platform’s critical stabilization and hardening phase.

This role is architect-first and execution-oriented. The architect will own Lakehouse platform design, administration, reliability, and security while partnering closely with a small core team and mentoring distributed data engineers across the enterprise. The initial mandate is clear: deliver a hardened, stable, observable, and recoverable Minimal Viable Lakehouse capable of supporting 24/7 healthcare operations. Feature expansion will follow only after platform stability is assured.

This is a high-impact opportunity to shape the long-term data, analytics, and AI foundation for a major healthcare system.

Responsibilities

  • Serve as the primary architect and administrator for the Azure Databricks Lakehouse, including Unity Catalog, workspaces, clusters/warehouses, storage integrations, and access controls
  • Design and execute a Lakehouse hardening roadmap, focusing on:
  • High availability and disaster recovery readiness
  • Backup and restore patterns for data and metadata
  • Job orchestration, observability, logging, alerting, and platform SLOs
  • Proactive data quality and validation frameworks
  • Define and enforce naming standards, environment strategy, and catalog structures to support lineage, governance, and long-term maintainability
  • Partner with Enterprise Architecture and Security to ensure alignment on identity, access, networking, encryption, and compliance (HIPAA/PHI)
  • Provide architectural oversight for ingestion and transformation pipelines (ADF → landing → raw → curated; dbt; Databricks Jobs)
  • Guide engineers on resilient ingestion patterns, incremental processing, retry/recovery strategies, and pipeline observability
  • Own and evolve CI/CD and Infrastructure as Code for the Lakehouse:
  • Databricks deployment patterns (e.g., Asset Bundles or equivalent)
  • Azure DevOps or GitHub-based pipelines
  • Terraform-managed Databricks and Azure resources
  • Support FinOps and platform guardrails, including cost tagging, usage monitoring, and cost-efficient compute patterns
  • Mentor core and distributed data engineers through code reviews, architectural guidance, documentation, and best-practice enablement

Required Qualifications

  • 5+ years of experience in data platform engineering, cloud engineering, or solution architecture roles
  • Strong hands-on expertise with Azure Databricks, including:
  • Unity Catalog administration
  • Clusters and SQL/Python compute
  • Databricks Jobs, notebooks, and governance patterns
  • Experience with Azure Data Factory for orchestration and ingestion
  • Strong SQL and Python skills
  • Experience with CI/CD pipelines (Azure DevOps or GitHub Enterprise)
  • Working experience with Terraform or other IaC frameworks
  • Demonstrated experience designing or supporting platform observability, monitoring, and reliability
  • Strong collaboration skills; comfortable partnering with Security, Enterprise Architecture, and distributed engineering teams

Preferred Qualifications

  • Experience operating data platforms in healthcare or regulated environments (HIPAA/PHI)
  • Deeper experience with Terraform, Kubernetes, or advanced Databricks governance patterns
  • Familiarity with FinOps practices for cloud data platforms
  • Exposure to OHDSI / OMOP, Purview, or enterprise data cataloging tools
  • Experience modernizing or stabilizing legacy ingestion pipelines


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