Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Senior Solutions Architect – Healthcare Data Migration
New York, New York, United States
Open 3 months, first seen by us 108 days ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
Full-time · Contract — employment source
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.
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingLead enterprise healthcare customer engagements from discovery through delivery
Decommission legacy Teradata environments and move workloads to Databricks
Build automated cloud environments with Terraform for workspaces and networking
Tune and troubleshoot large-scale Spark and SQL workloads
Implement HIPAA and PHI data security using Unity Catalog access controls
From the employer’s posting
Lead engagements from discovery to delivery with full ownership and accountability for enterprise healthcare accounts.
Architect and execute the decommissioning of legacy Teradata environments, shifting workloads into highly scalable Databricks structures.
Design and build automated, reproducible cloud environments using Terraform to manage workspaces and networking.
Apply expert-level Spark fundamentals and Spark internals knowledge to troubleshoot, tune, and optimize large-scale distributed workloads and SQL jobs.
Implement strict data security models complying with HIPAA and PHI regulations using Unity Catalog for fine-grained access control.
Tools in this posting
- SQL
- Databricks
- Delta Lake
- Spark
- Terraform
- PySpark
Source — Tool mentions in context
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.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 108 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 19, 2026108 days ago
- Recorded sightings
- 85
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 108
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
Koantek is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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.
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New York, New York, United States
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