Remote Enterprise Data Architect Jobs
Remote Enterprise Data Architect jobs are concentrated across financial services, healthcare, technology, and the public sector, where distributed data teams need senior architects who can design and govern enterprise-wide data strategies without being on-site. Companies actively hiring remote enterprise data architects include Fisher Investments, GovCIO, and Torani. See the openings below and apply to the ones that match your experience.
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Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Enterprise Data Architect
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking a Enterprise Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.
Key Responsibilities
- Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers.
- Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization.
- Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
- Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads.
- Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub.
- Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns.
- Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs.
- Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers.
- Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams.
- Drive cost optimization and capacity planning across the data platform estate.
- Design disaster recovery, multi-region, and high-availability strategies for critical data assets.
- Mentor data engineers and architects on platform standards and emerging best practices.
- Produce architecture artifacts including context diagrams, decision records, and reference patterns.
- Stay current with data platform research, vendor offerings, and open-source ecosystem developments.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- Eight or more years of experience in data engineering, with significant time in architecture roles.
- Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
- Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
- Hands-on experience with Spark, Flink, or Kafka at production scale.
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
- Experience implementing governance, lineage, and catalog capabilities.
- Solid grasp of cloud platforms, networking, identity, and cost optimization.
- Excellent communication, facilitation, and stakeholder management skills.
- Track record of leading large data platform initiatives across teams.
- Experience with data mesh or data product architectures.
- Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
- Exposure to regulated industries with strict data residency or audit requirements.
- Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
- Public talks or writing on data architecture.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
pBoMyMTDTL
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Enterprise Data Architect
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking a Enterprise Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.
Key Responsibilities
- Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers.
- Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization.
- Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
- Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads.
- Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub.
- Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns.
- Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs.
- Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers.
- Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams.
- Drive cost optimization and capacity planning across the data platform estate.
- Design disaster recovery, multi-region, and high-availability strategies for critical data assets.
- Mentor data engineers and architects on platform standards and emerging best practices.
- Produce architecture artifacts including context diagrams, decision records, and reference patterns.
- Stay current with data platform research, vendor offerings, and open-source ecosystem developments.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- Eight or more years of experience in data engineering, with significant time in architecture roles.
- Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
- Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
- Hands-on experience with Spark, Flink, or Kafka at production scale.
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
- Experience implementing governance, lineage, and catalog capabilities.
- Solid grasp of cloud platforms, networking, identity, and cost optimization.
- Excellent communication, facilitation, and stakeholder management skills.
- Track record of leading large data platform initiatives across teams.
- Experience with data mesh or data product architectures.
- Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
- Exposure to regulated industries with strict data residency or audit requirements.
- Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
- Public talks or writing on data architecture.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
pBoMyMTDTL
See All 12 Remote Enterprise Data Architect Jobs
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Find JobsRemote Enterprise Data Architect Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote enterprise data architect jobs.
- 7-plus years of experience designing and implementing enterprise-scale data architectures
- Deep hands-on expertise with cloud data platforms such as Snowflake, Databricks, or Azure Synapse
- Proficiency in data modeling disciplines including conceptual, logical, and physical design
- Experience establishing data governance frameworks, data quality standards, and metadata management practices
- Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or TOGAF
- Strong communication skills with a record of translating technical architecture decisions for executive stakeholders
Tips for Your Remote Enterprise Data Architect Job Search
Apply early to remote roles that fit
Migrate Mate lists remote enterprise data architect openings from companies across the U.S. in one place, so you can find roles that match your stack and experience level and apply directly without sorting through unrelated listings.
Show async communication in your portfolio
Remote enterprise data architects spend more time writing architecture decision records, Confluence pages, and async Slack threads than presenting in rooms. Include written design docs and documented rationale in your portfolio to prove you can communicate architecture decisions without a whiteboard.
Demonstrate cloud-native data architecture depth
Remote employers expect you to own the full stack independently. Highlight hands-on experience with platforms like Databricks, Snowflake, or AWS Lake Formation alongside data modeling frameworks such as Data Vault or Kimball, since distributed teams rely on architects who can make technology decisions without escalating every tradeoff.
Prepare for remote whiteboard architecture interviews
Remote architecture interviews frequently use collaborative tools like Miro, Lucidchart, or FigJam instead of a physical whiteboard. Practice walking through an enterprise data platform design in real time on one of these tools so you can articulate your reasoning while drawing, not after.
Remote Enterprise Data Architect Jobs: Frequently Asked Questions
How do I get a remote enterprise data architect job?
Target remote-first technology companies, cloud-native startups, and large enterprises with distributed data engineering teams, as these organizations are most likely to hire enterprise data architects without a location requirement. Remote employers screen heavily for self-direction, clear async written communication, and hands-on experience with cloud data platforms, data modeling frameworks, and governance tooling. A portfolio of data architecture diagrams, documented design decisions, and measurable business outcomes gives you a concrete edge over candidates who list skills without evidence.
Which companies hire remote enterprise data architects?
Companies hiring remote enterprise data architects right now include Fisher Investments, GovCIO, and Torani, based on current remote listings on Migrate Mate as of September 2026. These tend to be remote-first technology firms, large financial services organizations, and healthcare companies running distributed data engineering teams across multiple time zones.
Can you get a remote enterprise data architect job with no experience?
Yes, but remote entry-level roles in this discipline are rare because employers expect you to operate independently from day one without in-person mentorship. Your strongest path in is through cloud certifications, open-source data architecture contributions, or a portfolio of documented reference architectures you built during contract, freelance, or academic work. Remote-first startups and consultancies are more likely than large enterprises to take a chance on emerging architects who can show real design work.
Do you need a degree for remote enterprise data architect jobs?
Not always. Many remote employers list a bachelor's degree in computer science or a related field as preferred rather than required, particularly at companies that evaluate candidates on demonstrated skills. What remote hiring managers consistently weigh more heavily is a proven ability to design scalable data platforms, communicate architecture decisions in writing, and deliver results on distributed teams, all of which you can show through a strong portfolio even without a formal degree.
See All 12 Remote Enterprise Data Architect Jobs
Find roles that match your experience and apply in just a few clicks.
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