Medasource · 3 weeks ago
Sr. Solution Architect
Medasource is seeking a Senior Lakehouse Solution Architect & Platform Administrator to join their client’s mission-critical Azure Databricks Lakehouse project. This role involves providing technical leadership in the design and administration of the Lakehouse platform, ensuring its stability and reliability to support healthcare operations.
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
Qualification
Required
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
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