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, ŌURA, and Qumulo. See the openings below and apply to the ones that match your experience.
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Role: Enterprise Data Architect
Location: Harrisburg, PA
Work Mode: Hybrid
Employment Type: Contract
Interview: Video + In-Person
Role Summary
We are seeking an experienced Enterprise Data Architect to define enterprise data architecture and build reusable data products supporting modernization, analytics, and AI initiatives. The architect will work with business, product, engineering, cloud, and technology teams to create data models, improve data quality, establish governance, and prevent data silos.
Key Responsibilities
Define conceptual/logical data models, canonical models, and enterprise data standards.
Design reusable data products, schemas, metadata, and ownership models.
Support legacy modernization, data migration, and target architecture.
Establish data governance, quality, lineage, catalog, security, and interoperability standards.
Partner with cloud, integration, engineering, and data teams to implement enterprise data solutions.
Support API-first approaches, semantic layers, knowledge graphs, and future AI capabilities.
Required Qualifications
10+ years of experience in Data Architecture, Information Architecture, or Enterprise Architecture.
8+ years of hands-on data architecture, data engineering, database design, and data modeling experience.
Experience with data warehouses/data marts and MDM concepts/tools.
5+ years with platforms such as Snowflake, Databricks, MongoDB, and cloud ecosystems including AWS, Azure, or GCP.
Strong experience with data governance, data quality, metadata, lineage, security, privacy, and regulatory requirements.
Experience supporting large-scale modernization or digital transformation initiatives.
Strong communication, stakeholder management, and problem-solving skills.
Public Sector, Healthcare, or Financial Services experience preferred.
Role: Enterprise Data Architect
Location: Harrisburg, PA
Work Mode: Hybrid
Employment Type: Contract
Interview: Video + In-Person
Role Summary
We are seeking an experienced Enterprise Data Architect to define enterprise data architecture and build reusable data products supporting modernization, analytics, and AI initiatives. The architect will work with business, product, engineering, cloud, and technology teams to create data models, improve data quality, establish governance, and prevent data silos.
Key Responsibilities
Define conceptual/logical data models, canonical models, and enterprise data standards.
Design reusable data products, schemas, metadata, and ownership models.
Support legacy modernization, data migration, and target architecture.
Establish data governance, quality, lineage, catalog, security, and interoperability standards.
Partner with cloud, integration, engineering, and data teams to implement enterprise data solutions.
Support API-first approaches, semantic layers, knowledge graphs, and future AI capabilities.
Required Qualifications
10+ years of experience in Data Architecture, Information Architecture, or Enterprise Architecture.
8+ years of hands-on data architecture, data engineering, database design, and data modeling experience.
Experience with data warehouses/data marts and MDM concepts/tools.
5+ years with platforms such as Snowflake, Databricks, MongoDB, and cloud ecosystems including AWS, Azure, or GCP.
Strong experience with data governance, data quality, metadata, lineage, security, privacy, and regulatory requirements.
Experience supporting large-scale modernization or digital transformation initiatives.
Strong communication, stakeholder management, and problem-solving skills.
Public Sector, Healthcare, or Financial Services experience preferred.
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Find JobsRemote Enterprise Data Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
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, ŌURA, and Qumulo, based on current remote listings on Migrate Mate as of August 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.
Which industries hire the most remote enterprise data architects?
The sectors hiring the most remote enterprise data architects are Technology & Software, based on current remote listings on Migrate Mate as of August 2026. These industries rely on distributed data teams working across multiple regions, making remote enterprise data architects a natural fit for their operating models.
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