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

Customer Leadership: 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 PoCs and architecture workshops to demonstrate solution vision and inspire customer confidence.

Mentorship: Champion best practices in PySpark 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 PySpark 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

Certifications: 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.