H-1B Visa Data Architect Jobs
Data Architect roles qualify as H-1B visa specialty occupations under the computer and information systems category, requiring at least a bachelor's degree in computer science, information systems, or a related field. Employers file the Labor Condition Application with DOL before petitioning USCIS, and most large technology and financial services firms have active H-1B visa filing histories for this role.
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Get Access To All JobsTitle: Marketing Technology (MarTech) Data Architect
Location: Atlanta, GA (Onsite)
Experience Level: Lead / Architect (8+ years)
Role Summary
The Marketing Technology Data Architect is responsible for defining the data architecture strategy that powers marketing analytics, customer intelligence, and personalization at scale. This role provides end-to-end ownership of the MarTech data ecosystem, ensuring seamless integration, scalability, governance, and alignment with enterprise data platforms. The architect partners with marketing, engineering, analytics, and enterprise architecture teams to design robust, future-ready data solutions across platforms such as CDPs, CRM systems, and marketing activation tools.
Key Responsibilities
Data Architecture & Strategy:
- Define and own the end-to-end data architecture for the marketing technology ecosystem
- Establish architectural standards for modeling, storage, integration, and consumption of marketing data
- Design scalable, modular architectures supporting customer 360, omnichannel engagement, and real-time personalization
- Evaluate and recommend tools, platforms, and technologies aligned with business and enterprise strategy
Data Modeling Leadership:
- Provide guidance and governance on conceptual, logical, and physical data modeling practices
- Oversee the design of enterprise-level customer data models (identity resolution, segmentation, attribution)
- Ensure consistency and reusability of data models across domains and platforms
- Mentor data modelers and engineers on best practices
MarTech Ecosystem Architecture:
- Architect integrations across platforms such as Snowflake, Adobe Experience Cloud, Salesforce, CDPs, and downstream activation systems
- Define canonical data models, data contracts, and integration patterns across systems
- Design batch and real-time data pipelines (including event-driven architectures)
- Ensure interoperability between marketing, enterprise data, and digital platforms
Data Governance, Privacy & Compliance:
- Establish data governance frameworks for marketing data, including metadata, lineage, and stewardship
- Ensure compliance with privacy regulations (GDPR, CCPA) and consent management practices
- Define policies for data quality, security, and lifecycle management
- Partner with security and governance teams to operationalize standards
Analytics & Activation Enablement:
- Design data architecture supporting advanced analytics, AI/ML, and personalization use cases
- Enable unified access layers (semantic models, data marts) for analytics and BI tools
- Ensure data readiness for segmentation, attribution modeling, and campaign optimization
- Support real-time and near-real-time activation use cases
Stakeholder & Leadership Collaboration:
- Partner with marketing, product, engineering, and enterprise architecture leadership to align technology strategy
- Translate business vision into scalable and sustainable data architecture
- Lead architecture reviews, design governance forums, and decision-making processes
- Influence roadmap planning and investment priorities
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
- 7+ years of experience in data architecture, data engineering, or large-scale data platform design
- Deep expertise in:
- Data architecture patterns (lakehouse, data warehouse)
- Data modeling methodologies (dimensional, Data Vault, domain-driven design)
- Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
- Strong experience designing MarTech ecosystems (Adobe, Salesforce, CDPs, etc.)
- Expertise in designing large-scale data integration and pipeline architectures
- Strong understanding of marketing data concepts (customer identity, attribution, segmentation, personalization)
Preferred Qualifications
- Architecture experience with Customer Data Platforms (CDPs)
- Knowledge of real-time and streaming architectures (Kafka, event-driven systems)
- Experience with orchestration and transformation tools (Airflow, dbt, Matillion, etc.)
- Familiarity with API-first integration patterns and microservices-based architectures
- Experience with data privacy, consent, and identity resolution frameworks
- Cloud certifications (AWS, Azure, GCP) or enterprise architecture certifications (e.g., TOGAF)
Key Skills
- Enterprise data architecture and system design
- MarTech ecosystem expertise
- Strategic thinking and technology leadership
- Data governance and compliance
- Cross-functional collaboration and executive communication
Title: Marketing Technology (MarTech) Data Architect
Location: Atlanta, GA (Onsite)
Experience Level: Lead / Architect (8+ years)
Role Summary
The Marketing Technology Data Architect is responsible for defining the data architecture strategy that powers marketing analytics, customer intelligence, and personalization at scale. This role provides end-to-end ownership of the MarTech data ecosystem, ensuring seamless integration, scalability, governance, and alignment with enterprise data platforms. The architect partners with marketing, engineering, analytics, and enterprise architecture teams to design robust, future-ready data solutions across platforms such as CDPs, CRM systems, and marketing activation tools.
Key Responsibilities
Data Architecture & Strategy:
- Define and own the end-to-end data architecture for the marketing technology ecosystem
- Establish architectural standards for modeling, storage, integration, and consumption of marketing data
- Design scalable, modular architectures supporting customer 360, omnichannel engagement, and real-time personalization
- Evaluate and recommend tools, platforms, and technologies aligned with business and enterprise strategy
Data Modeling Leadership:
- Provide guidance and governance on conceptual, logical, and physical data modeling practices
- Oversee the design of enterprise-level customer data models (identity resolution, segmentation, attribution)
- Ensure consistency and reusability of data models across domains and platforms
- Mentor data modelers and engineers on best practices
MarTech Ecosystem Architecture:
- Architect integrations across platforms such as Snowflake, Adobe Experience Cloud, Salesforce, CDPs, and downstream activation systems
- Define canonical data models, data contracts, and integration patterns across systems
- Design batch and real-time data pipelines (including event-driven architectures)
- Ensure interoperability between marketing, enterprise data, and digital platforms
Data Governance, Privacy & Compliance:
- Establish data governance frameworks for marketing data, including metadata, lineage, and stewardship
- Ensure compliance with privacy regulations (GDPR, CCPA) and consent management practices
- Define policies for data quality, security, and lifecycle management
- Partner with security and governance teams to operationalize standards
Analytics & Activation Enablement:
- Design data architecture supporting advanced analytics, AI/ML, and personalization use cases
- Enable unified access layers (semantic models, data marts) for analytics and BI tools
- Ensure data readiness for segmentation, attribution modeling, and campaign optimization
- Support real-time and near-real-time activation use cases
Stakeholder & Leadership Collaboration:
- Partner with marketing, product, engineering, and enterprise architecture leadership to align technology strategy
- Translate business vision into scalable and sustainable data architecture
- Lead architecture reviews, design governance forums, and decision-making processes
- Influence roadmap planning and investment priorities
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
- 7+ years of experience in data architecture, data engineering, or large-scale data platform design
- Deep expertise in:
- Data architecture patterns (lakehouse, data warehouse)
- Data modeling methodologies (dimensional, Data Vault, domain-driven design)
- Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
- Strong experience designing MarTech ecosystems (Adobe, Salesforce, CDPs, etc.)
- Expertise in designing large-scale data integration and pipeline architectures
- Strong understanding of marketing data concepts (customer identity, attribution, segmentation, personalization)
Preferred Qualifications
- Architecture experience with Customer Data Platforms (CDPs)
- Knowledge of real-time and streaming architectures (Kafka, event-driven systems)
- Experience with orchestration and transformation tools (Airflow, dbt, Matillion, etc.)
- Familiarity with API-first integration patterns and microservices-based architectures
- Experience with data privacy, consent, and identity resolution frameworks
- Cloud certifications (AWS, Azure, GCP) or enterprise architecture certifications (e.g., TOGAF)
Key Skills
- Enterprise data architecture and system design
- MarTech ecosystem expertise
- Strategic thinking and technology leadership
- Data governance and compliance
- Cross-functional collaboration and executive communication
See all 1,408+ H-1B Visa Data Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Architect Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Data Architect
Map your degree to the role
USCIS scrutinizes specialty occupation claims for Data Architect petitions when the applicant's degree is in a broad field like general IT or business. A transcript showing database systems, data modeling, or distributed architecture coursework significantly strengthens your case.
Search LCA filings by job title
Use the OFLC Wage Search to pull certified Labor Condition Applications filed under SOC code 15-1243 for Data Architects. This shows which employers have actively sponsored this role and what prevailing wage levels they filed at in your target metro.
Find verified sponsors on Migrate Mate
Filter Data Architect roles on Migrate Mate by employers with confirmed H-1B LCA filing history. This cuts out companies that list the role but have no documented sponsorship record, so you target interviews where visa support is already established.
Clarify cloud platform alignment early
Employers filing H-1B petitions for Data Architects often specify cloud environments like AWS, Azure, or GCP in the job duty description submitted to USCIS. Misalignment between your experience and the filed duties can trigger a Request for Evidence after approval.
Confirm filing timeline against your OPT expiry
H-1B cap-subject petitions can only be filed for an October 1 start date. If your OPT or STEM OPT expires before then, ask the employer whether they'll file for a cap-exempt institution or if they can bridge the gap through another status.
Request the prevailing wage level in writing
DOL assigns Data Architect roles to wage levels I through IV based on experience and supervisory duties. Level I wages are significantly lower than Level IV. Before accepting an offer, confirm which level the employer intends to file at and that the offered salary meets it.
H-1B Visa Data Architect: Frequently Asked Questions
Does a Data Architect role qualify as an H-1B specialty occupation?
Yes. Data Architect positions fall under SOC code 15-1243 and require at minimum a bachelor's degree in computer science, information systems, or a directly related field, which satisfies USCIS's specialty occupation definition. The role's technical scope, including data modeling, schema design, and enterprise architecture, supports this classification. If your degree is in a tangential field, supplementary coursework or a credential evaluation can help close the gap.
Which industries sponsor H-1B visas most often for Data Architects?
Financial services, cloud infrastructure companies, healthcare technology, and enterprise software firms account for a large share of H-1B LCA filings for Data Architect roles. These sectors handle large-scale data governance and regulatory compliance requirements that justify the specialized role. You can verify active sponsors by searching the OFLC Wage Search for certified LCAs under the relevant SOC code, or browse employer-filtered listings on Migrate Mate.
Can I transfer my H-1B to a new employer as a Data Architect?
Yes, H-1B portability under AC21 lets you start working for a new employer as soon as they file a transfer petition, without waiting for approval, as long as your current H-1B has been approved for at least 180 days. The new employer must file a new LCA with DOL and an I-129 petition with USCIS reflecting your Data Architect duties and the applicable prevailing wage for the new worksite location.
How does the prevailing wage apply to Data Architect H-1B petitions?
DOL assigns one of four wage levels to each LCA filing based on the complexity of duties and experience required. A Data Architect role with independent design authority and cross-functional oversight typically files at Level III or IV, which carries a higher wage floor than entry-level positions. Employers must pay at least the prevailing wage for the specific worksite location, which you can look up using the OFLC Wage Search by SOC code and geography.
What documentation strengthens an H-1B petition for a Data Architect?
A strong petition includes a detailed job duty description that maps technical responsibilities to the specialty occupation definition, a degree equivalency evaluation if your credential is from outside the U.S., and evidence of the employer's business need for the role. USCIS may issue a Request for Evidence if the duties appear generalist or overlap with a non-specialty role like general IT support, so specificity in the I-129 support letter matters significantly.