Senior Solutions Architect – Healthcare Data Migration

Job Title: Senior Solutions Architect – Healthcare Data Migration Experience Required: 15+ Years Location: USA/Remote Employment Type: Full-time Role Overview We are seeking an elite Senior Solutions Architect with deep expertise in enterprise data architecture and cloud modernization. This role requires a decisive, agentic-forward approach to problem-solving.

You will independently lead complex customer engagements, bridging hands-on data engineering excellence with strategic technical leadership. As a trusted advisor, you will proactively build and implement architectures that safely migrate legacy healthcare estates into modern cloud Lakehouses.

Key Responsibilities

Lead engagements from discovery to delivery with full ownership and accountability for enterprise healthcare accounts. Architecture & Migration: Architect and execute the decommissioning of legacy Teradata environments, shifting workloads into highly scalable Databricks structures. Infrastructure as Code: Design and build automated, reproducible cloud environments using Terraform to manage workspaces and networking.

Spark & Optimization: Apply expert-level Spark fundamentals and Spark internals knowledge to troubleshoot, tune, and optimize large-scale distributed workloads and SQL jobs. Healthcare Governance: Implement strict data security models complying with HIPAA and PHI regulations using Unity Catalog for fine-grained access control.

Proactive Delivery: Design and execute Po. Cs and architecture workshops to demonstrate solution vision and inspire customer confidence. Mentorship: Champion best practices in Py. Spark, Delta Lake, and Lakehouse design while mentoring engineering teams. Required Qualifications Experience: 15+ years of dedicated experience in data engineering, enterprise architecture, and major cloud migrations.

Legacy Domain Expertise: Deep, hands-on history migrating legacy Teradata estates, BTEQ scripts, and enterprise warehouses. Databricks Mastery: 4+ years of hands-on expertise including job optimization, debugging, and workload governance. Technical Depth: Deep understanding of Spark Internals, Py. Spark, Databricks SQL (DBSQL) performance tuning, and Delta Lake.

DevOps / IaC: Proven experience using Terraform to provision and manage cloud infrastructure in highly regulated environments. Healthcare Domain Depth: Solid understanding of patient data complexities, data models, and strict compliance (HIPAA/PHI) guardrails. Autonomy: Proven ability to identify and solve complex technical problems with minimal oversight.

Preferred Qualifications

Databricks Certified Data Engineer Professional or Databricks Certified Solutions Architect. Advanced Skills: Full-scale enterprise implementation experience with Delta Live Tables (DLT) and Unity Catalog (UC). Consulting Background: Experience in large-scale data migration or production technical consulting for enterprise clients.