Remote Lead Data Architect Jobs
Remote Lead Data Architect jobs are open across the U.S. in sectors like financial services, healthcare technology, and enterprise software, at remote-first firms and distributed engineering teams building large-scale data platforms. Employers hiring remotely right now include Lockheed Martin, Fisher Investments, and World Wide Technology. See the openings below and apply to the ones that match your experience.
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Showing 5 of 119+ Remote Lead Data Architect jobs
Job ID:
J55073
Job Title:
Senior Snowflake Data Architect
Location:
Atlanta, GA
Duration:
24 Months + Extension
Domain Exposure:
Retail
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: Senior Snowflake Data Architect
Location: Atlanta, GA(Remote)
Duration: 24 Months + Extension
Bill Rate: $83/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description:
We are seeking an experienced Senior Snowflake Data Architect with strong expertise in Snowflake platform architecture, data engineering, and dbt Core to lead the design, development, and optimization of enterprise-grade data solutions.
The ideal candidate will have hands-on experience building scalable Snowflake data platforms, developing robust data models and pipelines, and implementing data quality and governance controls.
This role will primarily support Mortgage Servicing Rights (MSR) analytics, valuation, portfolio analytics, and investor reporting. The architect will work closely with Capital Markets, Finance, Portfolio Analytics, and Operations teams to translate business requirements into reliable and scalable data solutions.
Required Qualifications:
10+ years of experience in Data Engineering, Data Architecture, or related fields.
4+ years of hands-on experience designing and managing production Snowflake environments.
3+ years of production experience with dbt Core, including data modelling, testing, macros, and transformations.
Strong expertise in SQL, advanced data modelling, and ELT pipeline development.
Experience designing scalable, enterprise-level data architectures.
Strong understanding of data quality, data governance, reconciliation, and validation frameworks.
Experience with Snowflake performance optimization and cost management.
Ability to work directly with business and technical stakeholders.
Experience in Mortgage Servicing, Mortgage Servicing Rights (MSR), or Capital Markets.
Understanding of MSR valuation, mortgage servicing analytics, and portfolio reporting.
Experience supporting financial reporting, investor reporting, and financial data platforms.
Familiarity with Python and cloud-based data integration tools.
Experience working in financial services, banking, or mortgage technology environments.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
Job ID:
J55073
Job Title:
Senior Snowflake Data Architect
Location:
Atlanta, GA
Duration:
24 Months + Extension
Domain Exposure:
Retail
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: Senior Snowflake Data Architect
Location: Atlanta, GA(Remote)
Duration: 24 Months + Extension
Bill Rate: $83/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description:
We are seeking an experienced Senior Snowflake Data Architect with strong expertise in Snowflake platform architecture, data engineering, and dbt Core to lead the design, development, and optimization of enterprise-grade data solutions.
The ideal candidate will have hands-on experience building scalable Snowflake data platforms, developing robust data models and pipelines, and implementing data quality and governance controls.
This role will primarily support Mortgage Servicing Rights (MSR) analytics, valuation, portfolio analytics, and investor reporting. The architect will work closely with Capital Markets, Finance, Portfolio Analytics, and Operations teams to translate business requirements into reliable and scalable data solutions.
Required Qualifications:
10+ years of experience in Data Engineering, Data Architecture, or related fields.
4+ years of hands-on experience designing and managing production Snowflake environments.
3+ years of production experience with dbt Core, including data modelling, testing, macros, and transformations.
Strong expertise in SQL, advanced data modelling, and ELT pipeline development.
Experience designing scalable, enterprise-level data architectures.
Strong understanding of data quality, data governance, reconciliation, and validation frameworks.
Experience with Snowflake performance optimization and cost management.
Ability to work directly with business and technical stakeholders.
Experience in Mortgage Servicing, Mortgage Servicing Rights (MSR), or Capital Markets.
Understanding of MSR valuation, mortgage servicing analytics, and portfolio reporting.
Experience supporting financial reporting, investor reporting, and financial data platforms.
Familiarity with Python and cloud-based data integration tools.
Experience working in financial services, banking, or mortgage technology environments.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
See All 119+ Remote Lead Data Architect Jobs
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Find JobsRemote Lead Data Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote lead data architect jobs.
- 7 or more years of experience in data engineering or data architecture roles
- Proficiency with cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift
- Strong background in dimensional modeling, data vault, or enterprise data modeling techniques
- Experience designing and governing large-scale data pipelines using tools like Apache Spark or dbt
- Familiarity with data governance frameworks, data cataloging, and metadata management practices
- Bachelor's or master's degree in computer science, information systems, or a related technical field
Tips for Your Remote Lead Data Architect Job Search
Document your architecture decisions publicly
Remote employers can't observe how you work, so they look for evidence. Write up past data platform designs, schema decisions, or migration strategies in a public portfolio or GitHub repo. Concrete artifacts replace the credibility that in-person presence normally builds.
Signal async fluency in every application
Remote lead data architect roles require driving technical alignment across time zones without meetings. Your resume and cover materials should name specific async tools you've used, like Confluence, Loom, or Notion, and describe how you've kept distributed teams aligned on data architecture decisions.
Apply early to remote roles that fit
Migrate Mate lists remote lead data architect openings from companies across the U.S. in one place. Search the current listings, find the roles that match your cloud platform experience and seniority level, and apply directly before competitive postings fill.
Prepare for async technical screens
Many remote-first employers send take-home architecture exercises before any live interview. Practice writing clear, well-structured design documents that explain your data modeling choices, trade-offs considered, and how your approach scales, since written technical communication is evaluated as much as the solution itself.
Remote Lead Data Architect Jobs: Frequently Asked Questions
How do I get a remote lead data architect job?
Remote lead data architect roles go to candidates who can demonstrate strong technical depth and the ability to lead distributed teams without in-person oversight. Remote employers screen heavily for async written communication, self-directed project management, and hands-on experience with cloud data platforms like Snowflake, Databricks, or BigQuery. A portfolio of architecture decisions, data modeling work, or migration projects gives you a concrete edge over candidates who only list tools.
Which companies hire remote lead data architects?
Remote lead data architect roles are posted by Lockheed Martin, Fisher Investments, and World Wide Technology and others right now, based on current remote listings on Migrate Mate as of November 2026. These openings come primarily from remote-first technology companies, distributed financial services firms, and healthcare data organizations that need senior technical leadership across geographically spread engineering teams.
Can you get a remote lead data architect job with no experience?
Yes, but remote lead data architect roles are harder to land without experience because employers expect you to operate independently and guide technical decisions from day one. Cloud-native startups and smaller data-driven companies are more open to candidates with strong self-taught foundations. Showing a documented architecture project, open-source data work, or a portfolio of data modeling decisions can open doors when a formal resume falls short.
Do you need a degree for remote lead data architect jobs?
Not always. Remote employers in this field care more about demonstrable architecture experience, cloud platform certifications, and a history of leading data infrastructure projects than a specific academic credential. A degree in computer science or a related field helps with certain enterprise employers, but candidates who can show real-world results designing scalable data systems regularly compete on equal footing.
Which industries hire the most remote lead data architects?
Most remote lead data architect openings sit in Technology & Software, Insurance, and Healthcare & Medical Services, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams that need senior data leadership to design and govern complex pipelines and platforms without being tied to a single office location.
See All 119+ Remote Lead Data Architect Jobs
Find roles that match your experience and apply in just a few clicks.
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