Data Architect Jobs
Data Architect jobs are open across financial services, healthcare, technology, retail, and the public sector, from associate to principal and distinguished levels, with specializations in cloud architecture, data governance, and enterprise data modeling. Find a role that fits from the openings below and apply directly.
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Title of Position: Principal Data Architect
Department: Data
Reports to (Title): Director, Data
Salary Grade: P5/Zone 3
Position Description
The Principal Data Architect is the senior individual contributor accountable for data architecture across UNOS Data, AI and Analytics. The role owns the end-to-end architecture for the UNOS data intelligence platform: a lakehouse that unifies clinical, operational and financial data, including EMR/EHR data.
The Principal Data Architect will set the technical direction for how data is ingested, modeled, governed, secured and served, and will build the data foundation for an AI-enabled BI platform that supports both analytics and agentic AI. Working closely with data engineering, data science and technology teams, the Principal Data Architect will take a hands-on role in setting architectural standards during the lakehouse build and stewarding the platform as it scales.
Key Responsibilities
DATA ARCHITECTURE
- Own the enterprise data reference architecture, from ingestion to consumption, across a multi-cloud and on-premises estate.
- Create conceptual and logical data models and guide their physical implementation for all data types.
- Define enterprise data standards and naming conventions, enforced through automated pipeline checks.
- Design integration patterns (batch, streaming, CDC, event-driven, API, file) and document end-to-end data flows.
- Design master and reference data (patient, provider, organization, location and code sets) with clear stewardship.
- Establish systems of record for each authoritative dataset and how others consume it.
- Turn business, clinical and regulatory requirements into scalable architecture.
LAKEHOUSE BUILD & EMR/EHR INTEGRATION
- Own the target design for the UNOS data intelligence lakehouse, using medallion architecture on open formats (Delta Lake, Apache Iceberg).
- Lead EMR/EHR source discovery and integration using HL7 v2, FHIR R4 and vendor extracts.
- Build and oversee production pipelines and pipeline frameworks on Azure and Databricks that capture changes, adapt to schema updates and are fully monitored.
- Standardize clinical data using common models (OMOP CDM, FHIR) and terminologies (SNOMED CT, LOINC, ICD-10, CPT, RxNorm).
- Build governance, lineage and data quality rules into the platform using Unity Catalog and Azure access controls.
- Protect PHI and sensitive data through classification, masking, retention, audit trails and least-privilege access.
AI-ENABLED BI PLATFORM FOR AGENTIC & ANALYTICS WORK
- Design one trusted semantic and metrics layer for both BI and AI.
- Prepare data architecture for AI, including model features, RAG, document intelligence, generative AI and agents.
- Define data contracts and governed access for AI agents.
- Set standards for testing, monitoring and responsible use of AI models and agents in production.
- Partner with AI and analytics teams to deliver secure, cost-effective, scalable solutions people use.
Core Ongoing Duties
- Maintain the data architecture roadmap as needs evolve.
- Review and approve designs, data models and pipeline changes, and guide teams through delivery.
- Design for performance, availability, resilience and cost efficiency, build in observability and operational readiness, and guide optimization of systemic issues.
- Define the data quality framework and resolve design-related quality issues.
- Support security and privacy teams in access reviews, incidents and new regulations.
- Partner with infrastructure and cloud platform teams to keep the platform aligned with enterprise standards and controls.
- Evaluate tools and vendors, run proofs of concepts and advise on build-vs-buy.
- Build reference implementations and hand validated patterns for delivery teams.
- Keep architecture diagrams, decision records, and specifications current.
- Coach architects and senior engineers on data modeling and data architecture.
- Contribute to Enterprise Architecture governance.
- Track trends such as TEFCA, CMS interoperability rules and generative AI in healthcare.
- Perform other duties and support additional administrative priorities as assigned, consistent with the general scope and level of the position.
Minimum Requirements
- 12+ years in technology, including 8+ years in data architecture, data engineering or related technical roles.
- 3+ years working with healthcare data in a regulated environment, including EMR/EHR integration and HIPAA compliance.
- Proven ownership of enterprise data architectures and reusable data product patterns.
- Experience designing a cloud lakehouse on Azure and Databricks using medallion architecture.
Critical Skills
- Expert SQL, Python and PySpark.
- Strong data modeling across dimensional, normalized, data mesh and data vault approaches.
- Hands-on experience with Azure data services: ADF, ADLS, Synapse, Azure SQL and Delta Lake, Azure Databricks.
- Experience with Epic Clarity/Caboodle, Oracle Health (Cerner) or MEDITECH data structures (preferred).
- Experience with vector search, feature stores and MLOps for AI and agentic systems (preferred).
- Exposure to Microsoft Foundry and/or Databricks Genie agents (preferred)
- Exposure to Microsoft Fabric, Azure Health Data Services (preferred).
- Experience with governance and master data tools such as Collibra, Informatica or EMPI solutions (preferred).
- Experience with Airflow, Terraform and CI/CD for data pipelines (preferred).
Education
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Health Informatics or a related field, or equivalent experience.
- Relevant industry certifications in cloud architecture preferred (Azure, Databricks, Snowflake), data management (CDMP, TOGAF) or healthcare interoperability (HL7 FHIR).
Physical Requirements
-
General office demands
- Prolonged periods of sitting at a desk and working on a computer.
- Frequent reaching, handling, and fine manipulation for using office equipment, filing, and managing paperwork.
- Manual dexterity sufficient to operate a keyboard, mouse, and other office tools.
- Occasional standing, walking, and bending.
- Ability to lift up to 10-20 pounds occasionally.
- Vision abilities required include close vision for computer work and reading documents.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Title of Position: Principal Data Architect
Department: Data
Reports to (Title): Director, Data
Salary Grade: P5/Zone 3
Position Description
The Principal Data Architect is the senior individual contributor accountable for data architecture across UNOS Data, AI and Analytics. The role owns the end-to-end architecture for the UNOS data intelligence platform: a lakehouse that unifies clinical, operational and financial data, including EMR/EHR data.
The Principal Data Architect will set the technical direction for how data is ingested, modeled, governed, secured and served, and will build the data foundation for an AI-enabled BI platform that supports both analytics and agentic AI. Working closely with data engineering, data science and technology teams, the Principal Data Architect will take a hands-on role in setting architectural standards during the lakehouse build and stewarding the platform as it scales.
Key Responsibilities
DATA ARCHITECTURE
- Own the enterprise data reference architecture, from ingestion to consumption, across a multi-cloud and on-premises estate.
- Create conceptual and logical data models and guide their physical implementation for all data types.
- Define enterprise data standards and naming conventions, enforced through automated pipeline checks.
- Design integration patterns (batch, streaming, CDC, event-driven, API, file) and document end-to-end data flows.
- Design master and reference data (patient, provider, organization, location and code sets) with clear stewardship.
- Establish systems of record for each authoritative dataset and how others consume it.
- Turn business, clinical and regulatory requirements into scalable architecture.
LAKEHOUSE BUILD & EMR/EHR INTEGRATION
- Own the target design for the UNOS data intelligence lakehouse, using medallion architecture on open formats (Delta Lake, Apache Iceberg).
- Lead EMR/EHR source discovery and integration using HL7 v2, FHIR R4 and vendor extracts.
- Build and oversee production pipelines and pipeline frameworks on Azure and Databricks that capture changes, adapt to schema updates and are fully monitored.
- Standardize clinical data using common models (OMOP CDM, FHIR) and terminologies (SNOMED CT, LOINC, ICD-10, CPT, RxNorm).
- Build governance, lineage and data quality rules into the platform using Unity Catalog and Azure access controls.
- Protect PHI and sensitive data through classification, masking, retention, audit trails and least-privilege access.
AI-ENABLED BI PLATFORM FOR AGENTIC & ANALYTICS WORK
- Design one trusted semantic and metrics layer for both BI and AI.
- Prepare data architecture for AI, including model features, RAG, document intelligence, generative AI and agents.
- Define data contracts and governed access for AI agents.
- Set standards for testing, monitoring and responsible use of AI models and agents in production.
- Partner with AI and analytics teams to deliver secure, cost-effective, scalable solutions people use.
Core Ongoing Duties
- Maintain the data architecture roadmap as needs evolve.
- Review and approve designs, data models and pipeline changes, and guide teams through delivery.
- Design for performance, availability, resilience and cost efficiency, build in observability and operational readiness, and guide optimization of systemic issues.
- Define the data quality framework and resolve design-related quality issues.
- Support security and privacy teams in access reviews, incidents and new regulations.
- Partner with infrastructure and cloud platform teams to keep the platform aligned with enterprise standards and controls.
- Evaluate tools and vendors, run proofs of concepts and advise on build-vs-buy.
- Build reference implementations and hand validated patterns for delivery teams.
- Keep architecture diagrams, decision records, and specifications current.
- Coach architects and senior engineers on data modeling and data architecture.
- Contribute to Enterprise Architecture governance.
- Track trends such as TEFCA, CMS interoperability rules and generative AI in healthcare.
- Perform other duties and support additional administrative priorities as assigned, consistent with the general scope and level of the position.
Minimum Requirements
- 12+ years in technology, including 8+ years in data architecture, data engineering or related technical roles.
- 3+ years working with healthcare data in a regulated environment, including EMR/EHR integration and HIPAA compliance.
- Proven ownership of enterprise data architectures and reusable data product patterns.
- Experience designing a cloud lakehouse on Azure and Databricks using medallion architecture.
Critical Skills
- Expert SQL, Python and PySpark.
- Strong data modeling across dimensional, normalized, data mesh and data vault approaches.
- Hands-on experience with Azure data services: ADF, ADLS, Synapse, Azure SQL and Delta Lake, Azure Databricks.
- Experience with Epic Clarity/Caboodle, Oracle Health (Cerner) or MEDITECH data structures (preferred).
- Experience with vector search, feature stores and MLOps for AI and agentic systems (preferred).
- Exposure to Microsoft Foundry and/or Databricks Genie agents (preferred)
- Exposure to Microsoft Fabric, Azure Health Data Services (preferred).
- Experience with governance and master data tools such as Collibra, Informatica or EMPI solutions (preferred).
- Experience with Airflow, Terraform and CI/CD for data pipelines (preferred).
Education
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Health Informatics or a related field, or equivalent experience.
- Relevant industry certifications in cloud architecture preferred (Azure, Databricks, Snowflake), data management (CDMP, TOGAF) or healthcare interoperability (HL7 FHIR).
Physical Requirements
-
General office demands
- Prolonged periods of sitting at a desk and working on a computer.
- Frequent reaching, handling, and fine manipulation for using office equipment, filing, and managing paperwork.
- Manual dexterity sufficient to operate a keyboard, mouse, and other office tools.
- Occasional standing, walking, and bending.
- Ability to lift up to 10-20 pounds occasionally.
- Vision abilities required include close vision for computer work and reading documents.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Data Architect Jobs by Experience Level
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Find Data Architect JobsData Architect Job Market
Who's Hiring
- JPMorganChase16
- Amazon Web Services14
- Logic10
- Capgemini8
- Booz Allen Hamilton8
Top Industries Hiring
- Technology & Software56
- Consulting & Professional Services17
- Electronics & Hardware6
- Science & Research5
- Staffing & Recruiting5
What Employers Look For
The qualifications that appear most often in data architect jobs.
- 7 or more years of experience in data engineering, data modeling, or database architecture roles
- Proficiency in cloud data platforms such as Snowflake, Azure Synapse, Google BigQuery, or Amazon Redshift
- Strong SQL skills and experience with both relational and NoSQL database design
- Experience designing dimensional models, data vaults, or enterprise data warehouse schemas
- Familiarity with data governance frameworks, metadata management, and data cataloging tools
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Data Architect Job Search
Tailor your resume to the stack
Data architect job listings often call out specific platforms like Snowflake, Databricks, or Azure Synapse. Mirror that exact tooling language in your resume so applicant tracking systems score you higher and hiring managers see relevance fast.
Lead with architecture decisions you owned
Hiring managers want to see that you drove design choices, not just implemented them. Name the schema approach you chose, the tradeoff you made, and the outcome. Vague phrases like 'contributed to data infrastructure' won't differentiate you.
Include a portfolio of data models
A GitHub repo or PDF showing entity-relationship diagrams, dimensional models, or data vault schemas signals real depth in a way a resume alone can't. Even anonymized or sample models demonstrate how you think about structure.
Apply early to roles that fit
Migrate Mate lists data architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by cloud platform alignment
If your deep experience is in AWS, targeting Azure-only shops wastes your time and theirs. Read job descriptions for the platform mix before applying, and make your strongest cloud certifications visible at the top of your resume.
Prepare a whiteboard design walkthrough
Most data architect interviews include a live data modeling exercise. Practice talking through your design decisions out loud, explaining normalization choices, partitioning strategies, and how you'd handle schema changes as requirements evolve.
Data Architect Jobs: Frequently Asked Questions
Which companies are hiring the most data architects?
The companies hiring the most data architects right now include JPMorganChase, Amazon Web Services, and Logic, with the largest share of openings in Virginia, Texas, and California, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare systems, and large technology firms consistently maintain the highest volume of open roles.
How many data architect jobs are remote?
About 73% of data architect openings are fully remote or hybrid as of November 2026, making this one of the more location-flexible roles in the data field. Cloud-focused and governance-heavy specializations tend to have the highest share of remote arrangements, while on-site expectations are more common in regulated industries like healthcare and government.
How do you become a data architect?
Most data architects build toward the role through several years as a data engineer or database administrator first. From there, the path typically involves deepening expertise in data modeling methodologies, earning a cloud platform certification, and taking on architecture responsibilities in progressively larger projects. Formal credentials like a certification in cloud data services or a master's in information systems can accelerate the transition into senior architect roles.
Can you get a data architect job with little experience?
Breaking in with limited experience requires positioning yourself at the associate or junior architect level and emphasizing any hands-on modeling or pipeline design work, even from academic projects or freelance engagements. Building a visible portfolio of data models and contributing to open-source data projects signals practical ability. Targeting smaller companies or startups that need a generalist to own data architecture end-to-end gives you a realistic entry point without needing years of enterprise credentials.
What does the data architect interview process look like?
The data architect interview process typically includes an initial recruiter screen followed by a technical phone interview focused on data modeling concepts and cloud platform knowledge. A take-home or live design exercise where you model a business scenario is standard at most companies. Final rounds usually involve a panel with engineering, data science, and business stakeholders, where you walk through your design decisions and defend your approach under questioning.
Where can I find and apply to data architect jobs?
You can find and apply to data architect jobs on Migrate Mate, which lists current openings from companies across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 710+ Data Architect Jobs
Find roles that match your experience and apply in just a few clicks.
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