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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Showing 5 of 1,523+ Data Architect jobs
Job Description
- More than 12+ years of IT experience
- Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI), Databricks (data engineering, SQL, notebooks, app/backend integration patterns)
- Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more)
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands-on experience with at least one modern data platform:
- Microsoft Fabric and/or Databricks strongly preferred
- Experience integrating data platforms with applications using APIs, services, or event-driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client-facing or consulting environments
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience
Key Skills:
- Data Architect
- Data warehouse
- Lakehouse (Databricks or Microsoft Fabric)
- Datalake
- ADF/Synapse/Data Pipelines (ETL/ELT)
- Strong SQL and Pyspark knowledge
- CI/CD Experience
About The Team
Datavail’s Data Management Services: Datavail’s Data Management and Analytics practice is made up of experts who provide a variety of data services including initial consulting and development, designing and building complete data systems, as well as ongoing support and management of database, data warehouse, data lake, data integration, and virtualization and reporting environments. Datavail’s team is comprised of not just excellent BI & analytics consultants, but great people as well. Datavail’s data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business objectives, goals and requirements, assess your environment, and recommend the tools which best fit your unique situation. Our proven methodology can help your project succeed, regardless of stage. With the combination of a proven delivery model and top-notch experience ensures that Datavail will remain the Data Management experts on demand you desire. Datavail’s flexible and client focused services always add value to your organization.
Job Description
- More than 12+ years of IT experience
- Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI), Databricks (data engineering, SQL, notebooks, app/backend integration patterns)
- Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more)
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands-on experience with at least one modern data platform:
- Microsoft Fabric and/or Databricks strongly preferred
- Experience integrating data platforms with applications using APIs, services, or event-driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client-facing or consulting environments
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience
Key Skills:
- Data Architect
- Data warehouse
- Lakehouse (Databricks or Microsoft Fabric)
- Datalake
- ADF/Synapse/Data Pipelines (ETL/ELT)
- Strong SQL and Pyspark knowledge
- CI/CD Experience
About The Team
Datavail’s Data Management Services: Datavail’s Data Management and Analytics practice is made up of experts who provide a variety of data services including initial consulting and development, designing and building complete data systems, as well as ongoing support and management of database, data warehouse, data lake, data integration, and virtualization and reporting environments. Datavail’s team is comprised of not just excellent BI & analytics consultants, but great people as well. Datavail’s data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business objectives, goals and requirements, assess your environment, and recommend the tools which best fit your unique situation. Our proven methodology can help your project succeed, regardless of stage. With the combination of a proven delivery model and top-notch experience ensures that Datavail will remain the Data Management experts on demand you desire. Datavail’s flexible and client focused services always add value to your organization.
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Find Data Architect JobsData Architect Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- NVIDIA93
- Databricks59
- Tata Consultancy Services (TCS)59
- CVS Health56
- Boston Consulting44
Top Industries Hiring
- Technology & Software750
- Consulting & Professional Services246
- Healthcare & Medical Services91
- Electronics & Hardware79
- Banking & Financial Services45
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 NVIDIA, Databricks, and Tata Consultancy Services (TCS), with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of June 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 34% of data architect openings are fully remote or hybrid as of June 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 1,523+ Data Architect Jobs
Jump back to the full list of openings and apply to any data architect role that fits.
Find Data Architect Jobs