Data Architect Jobs in USA with Visa Sponsorship
Data architect visa sponsorship is common at tech companies and large enterprises that need specialized database design expertise. Most positions qualify for H-1B, O-1, or EB-2 visas since they require advanced technical skills in data modeling, system architecture, and often a computer science or related engineering degree. For detailed occupation requirements, see the O*NET profile.
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INTRODUCTION
SoftServe is a global digital solutions company founded in 1993, headquartered in Austin, Texas. With 2,000+ active projects across North America, EMEA, APAC, and LATAM, we partner with leading technology providers including AWS, GCP, Microsoft, Databricks, Snowflake, and Confluent. Our Big Data & Analytics Center of Excellence brings together hundreds of data engineers and architects delivering end-to-end data solutions - from strategy and architecture to full-scale implementation - across healthcare, finance, manufacturing, retail, and energy. Join a long-term data program at a major US energy company as a Big Data Architect. Embedded directly within the client's organization, you will work side by side with top management and key stakeholders, playing a key role in driving the next phase of a large-scale data initiative. Please note that this is a hybrid role, with a requirement to attend the office at least three times per week.
ROLE AND RESPONSIBILITIES
IF YOU ARE
- An experienced Data Architect specializing in designing and building scalable data platforms on AWS
- Experienced in designing both batch and real-time data pipelines using AWS-native services
- Proficient in data modeling for analytical platforms and data lakes, including dimensional modeling, schema design and performance optimization for large-scale datasets
- Experienced with modern data lake table formats such as Apache Hudi, Delta Lake and Apache Iceberg for implementing reliable and scalable lakehouse architectures
- Strong understanding of data governance, security and access control, including experience with AWS Lake Formation governance capabilities
- Hands-on experience with data warehouse technologies such as Amazon Redshift, including performance tuning, query optimization and cost optimization
- Familiar with data processing frameworks such as Apache Spark, Apache Flink, etc for large-scale data transformations
- Experienced with workflow orchestration tools such as Apache Airflow
- Strong understanding of streaming architectures, including Kafka or Kinesis
- Proficient in SQL, GitHub and modern data engineering best practices
- Capable of translating business and customer requirements into scalable architecture solutions, defining development tasks, estimating timelines and leading engineering teams toward successful delivery
AND YOU WANT TO
- Own source-to-target mappings, drive discovery of new data sources, coordinate with business stakeholders on data ingestion
- Assist the Data Engineering Team with clear implementation scope definitions
- Participate in architecture decision-making and scale the data platform by planning new data ingestion pipelines and maintaining the data model
- Drive requirements gathering with business and tech stakeholders and assist with data modeling for systems using both Snowflake and Kafka
- Create and maintain documentation for the data schema and model
- Work in a team of data-focused engineers dedicated to continuous learning, improvement, and knowledge-sharing
- Be involved in the full project lifecycle, from initial design and proof of concepts (PoCs) to minimum viable product (MVP) development and full-scale implementation
- Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Big Data Community
TOGETHER WE WILL
- Work with a cutting-edge technology stack, including services from major cloud providers that are at the forefront of innovation and may not yet be generally available
- Engage with customers from diverse backgrounds, ranging from large global corporations to emerging crypto startups preparing to launch their first product
- Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence
- Support your technical and personal growth — we have a dedicated career plan for all roles in our company
- Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe data community
- Upskill with full access to Udemy learning courses
- Pass professional certifications, encouraged and covered by the company
COMPENSATION
The anticipated salary range for this role is 93,730 – 173,040 USD annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here. Please note, the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position.
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status. SoftServe is an Equal Opportunity Employer.

INTRODUCTION
SoftServe is a global digital solutions company founded in 1993, headquartered in Austin, Texas. With 2,000+ active projects across North America, EMEA, APAC, and LATAM, we partner with leading technology providers including AWS, GCP, Microsoft, Databricks, Snowflake, and Confluent. Our Big Data & Analytics Center of Excellence brings together hundreds of data engineers and architects delivering end-to-end data solutions - from strategy and architecture to full-scale implementation - across healthcare, finance, manufacturing, retail, and energy. Join a long-term data program at a major US energy company as a Big Data Architect. Embedded directly within the client's organization, you will work side by side with top management and key stakeholders, playing a key role in driving the next phase of a large-scale data initiative. Please note that this is a hybrid role, with a requirement to attend the office at least three times per week.
ROLE AND RESPONSIBILITIES
IF YOU ARE
- An experienced Data Architect specializing in designing and building scalable data platforms on AWS
- Experienced in designing both batch and real-time data pipelines using AWS-native services
- Proficient in data modeling for analytical platforms and data lakes, including dimensional modeling, schema design and performance optimization for large-scale datasets
- Experienced with modern data lake table formats such as Apache Hudi, Delta Lake and Apache Iceberg for implementing reliable and scalable lakehouse architectures
- Strong understanding of data governance, security and access control, including experience with AWS Lake Formation governance capabilities
- Hands-on experience with data warehouse technologies such as Amazon Redshift, including performance tuning, query optimization and cost optimization
- Familiar with data processing frameworks such as Apache Spark, Apache Flink, etc for large-scale data transformations
- Experienced with workflow orchestration tools such as Apache Airflow
- Strong understanding of streaming architectures, including Kafka or Kinesis
- Proficient in SQL, GitHub and modern data engineering best practices
- Capable of translating business and customer requirements into scalable architecture solutions, defining development tasks, estimating timelines and leading engineering teams toward successful delivery
AND YOU WANT TO
- Own source-to-target mappings, drive discovery of new data sources, coordinate with business stakeholders on data ingestion
- Assist the Data Engineering Team with clear implementation scope definitions
- Participate in architecture decision-making and scale the data platform by planning new data ingestion pipelines and maintaining the data model
- Drive requirements gathering with business and tech stakeholders and assist with data modeling for systems using both Snowflake and Kafka
- Create and maintain documentation for the data schema and model
- Work in a team of data-focused engineers dedicated to continuous learning, improvement, and knowledge-sharing
- Be involved in the full project lifecycle, from initial design and proof of concepts (PoCs) to minimum viable product (MVP) development and full-scale implementation
- Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Big Data Community
TOGETHER WE WILL
- Work with a cutting-edge technology stack, including services from major cloud providers that are at the forefront of innovation and may not yet be generally available
- Engage with customers from diverse backgrounds, ranging from large global corporations to emerging crypto startups preparing to launch their first product
- Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence
- Support your technical and personal growth — we have a dedicated career plan for all roles in our company
- Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe data community
- Upskill with full access to Udemy learning courses
- Pass professional certifications, encouraged and covered by the company
COMPENSATION
The anticipated salary range for this role is 93,730 – 173,040 USD annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here. Please note, the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position.
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status. SoftServe is an Equal Opportunity Employer.
How to Get Visa Sponsorship in Data Architect
Highlight cloud platform certifications
AWS, Azure, or GCP architect certifications strengthen your H-1B specialty occupation case. These demonstrate the specialized knowledge that makes the role bachelor's-degree-required rather than general IT work.
Document enterprise-scale projects
Large-scale data warehouse or lakehouse implementations show the complexity level that supports visa sponsorship. Include specific technologies like Snowflake, Databricks, or BigQuery in your portfolio examples.
Target companies with established data teams
Fortune 500 companies and unicorn startups with mature data infrastructure are more likely to understand the role's visa-qualifying requirements and have sponsorship experience.
Emphasize architectural decision-making skills
Focus on system design choices, scalability planning, and cross-functional collaboration. These strategic responsibilities differentiate architects from developers and strengthen the specialty occupation argument for USCIS.
Consider consulting firms as entry points
Accenture, Deloitte, and other consultancies regularly sponsor data architects for client projects. They often have streamlined visa processes and immediate project needs.
Prepare for technical architecture interviews
Expect whiteboard sessions on data flow design, storage optimization, and integration patterns. Strong performance demonstrates the specialized expertise that justifies sponsorship investment to employers.
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Get Access To All JobsFrequently Asked Questions
Do data architects qualify for H-1B specialty occupation requirements?
Yes, data architect roles typically qualify as H-1B specialty occupations because they require specialized knowledge in database design, system architecture, and data modeling. Most positions require a bachelor's degree in computer science, information systems, or engineering. The role's complexity and technical requirements clearly differentiate it from general IT positions.
What degree fields work for data architect visa applications?
Computer science, information systems, software engineering, and data science degrees directly support data architect visa petitions. Mathematics, statistics, or electrical engineering can work if coupled with relevant experience. Some positions accept related technical degrees plus significant hands-on experience with enterprise data systems and architectural frameworks.
Which visa categories work best for senior data architect roles?
Senior data architects with 8+ years experience and leadership responsibilities may qualify for EB-1A or O-1 visas based on extraordinary ability. Those with published research, speaking engagements, or recognized contributions to data architecture frameworks have stronger cases. H-1B remains the most common path for mid-level architects.
How do employers prove data architect roles need sponsorship?
Employers document the specialized technical requirements like distributed systems design, data governance frameworks, and enterprise architecture patterns. They emphasize decision-making responsibilities, cross-functional leadership, and the advanced degree typically required. Job descriptions highlighting strategic planning and complex technical trade-offs strengthen the specialty occupation case.
What if my data architect experience is mostly self-taught?
Self-taught architects can still qualify through the three-years-experience-for-one-year-education rule. Document specific projects, certifications, and measurable business impacts. Focus on enterprise-scale implementations and architectural decisions you've made. Strong GitHub portfolios, technical blog posts, or conference presentations help demonstrate the required specialized knowledge without a traditional degree.
What is the prevailing wage requirement for sponsored Data Architect jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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