Data Architect Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for data architect visa sponsorship, driven by major tech and energy employers in Houston, Dallas, and Austin. Companies like Dell Technologies, AT&T, Amazon, and ExxonMobil regularly hire data architects and have established H-1B visa sponsorship programs. The state's concentration of Fortune 500 headquarters and fast-growing tech sectors makes it a competitive but opportunity-rich market.
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Get Access To All JobsJob Title: Data Architect
Location: Dallas (preferable), TX or Seattle, WA
Duration: 5 Months
Interview: In-person interview is mandatory for both locations
Job Description:
We are looking for someone who can architect a scalable revenue data platform to support enterprise-wide data needs and deliver actionable insights across Client business units. Our current tech stack includes Azure, Snowflake, Databricks, Claude, and GitLab, with AWS also available. Furthermore, having knowledge of finance domain and platforms like SAP and Oracle is an added advantage. The ideal candidate will bring a forward-thinking approach—able to translate vision into architecture and design, develop proof of concepts, incorporate cost considerations, and deliver incremental value aligned to specific business units. This is a critical role that requires strong ownership, a bias for action, and the ability to balance strategic thinking with hands-on collaboration at the engineering level.
Role Overview
We are seeking a highly skilled Data Architect to lead the design and evolution of our Revenue Data Platform (RDMP). This role will be instrumental in architecting a scalable, enterprise-grade data platform that enables unified data access and delivers actionable insights across Client business units. The ideal candidate will bring a forward-looking mindset, translating strategic vision into practical architecture, while driving innovation, cost efficiency, and measurable business outcomes.
Key Responsibilities
- Define and architect a scalable, enterprise-wide Revenue Data Platform to support diverse business needs
- Translate business vision into robust data architecture, design patterns, and implementation roadmap
- Develop proof of concepts (POCs) to validate architectural decisions and accelerate adoption
- Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS
- Collaborate closely with engineering teams to ensure hands-on alignment and execution
- Incorporate cost optimization strategies into architecture and platform design
- Deliver incremental value aligned to specific business units through phased implementation
- Ensure data solutions enable high-quality, secure, and governed data access across the enterprise
Required Qualifications
- Proven experience as a Data Architect designing and implementing large-scale data platforms
- Strong expertise in cloud data ecosystems (Azure preferred; AWS experience is a plus)
- Hands-on experience with Snowflake, Databricks, and modern data engineering practices
- Experience working with CI/CD tools such as GitLab
- Ability to bridge strategic architecture and hands-on engineering execution
- Strong understanding of data modeling, data governance, and data platform scalability
Preferred Qualifications
- Experience in Finance/Revenue domains
- Familiarity with enterprise platforms such as SAP and Oracle
- Exposure to AI/LLM tools (e.g., Claude) and their integration into data platforms
Operational Management
- Establish governance, stewardship, and frameworks for managing data across the organization
- Develop and promote data management methodologies and standards
- Select and implement the appropriate tools, software, applications, and systems to support data technology goals
- Collaborate with project managers and business teams for all projects involving enterprise data
- Address data-related issues with systems integration, compatibility, and multi-platform integration
- Act as a leader and advocate of data management, including coaching, training, and developing
- Implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
- Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture
- Identify and develop opportunities for data reuse, migration, or retirement
Project Control and Review
- Perform data architecture design review
- Identify opportunities for optimization of cost, time and asset utilization in complex projects and advise relevant teams accordingly where possible
- Provide advice to teams facing complex technical issues in the course of project delivery
- Conduct planned and unplanned technical audits for complex projects as applicable
- Define and measure project and program specific architectural and technology quality metrics
Data Design & Definition
- Ensure alignment of the high-level architecture with the existing client need and business logic / review design prepared by architects
- Ensure the involvement of appropriate teams in data design
- Ensure technical integrate ability, requirements compliance of the solution, especially in case of a multi group / multi-vendor program
- Involve external partners / horizontals as appropriate
- Provide guidance to the team around the usage of data architecture and experience in solution implementation, product selection and definition, configuration, migration and transformations between cloud and hosted solutions
- Take responsibility for developing cutting edge wallet applications
- Ensure UST architecture principles and QOA (Quality of Architecture) are maintained
- Analyse trade-offs and provide recommendations, if any, on the data architecture
- Identify opportunities for efficiency improvements
- Understand the various work streams and the technologies necessary to deliver on large programs
- Resolve any issues based on industry expertise / partners leverage
- Provide best in class technology and solution options to customers with detailed examples and case studies
- Guide customer on process and technology improvements to achieve agility and quick results
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here. At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $50.00/hr.
Job Title: Data Architect
Location: Dallas (preferable), TX or Seattle, WA
Duration: 5 Months
Interview: In-person interview is mandatory for both locations
Job Description:
We are looking for someone who can architect a scalable revenue data platform to support enterprise-wide data needs and deliver actionable insights across Client business units. Our current tech stack includes Azure, Snowflake, Databricks, Claude, and GitLab, with AWS also available. Furthermore, having knowledge of finance domain and platforms like SAP and Oracle is an added advantage. The ideal candidate will bring a forward-thinking approach—able to translate vision into architecture and design, develop proof of concepts, incorporate cost considerations, and deliver incremental value aligned to specific business units. This is a critical role that requires strong ownership, a bias for action, and the ability to balance strategic thinking with hands-on collaboration at the engineering level.
Role Overview
We are seeking a highly skilled Data Architect to lead the design and evolution of our Revenue Data Platform (RDMP). This role will be instrumental in architecting a scalable, enterprise-grade data platform that enables unified data access and delivers actionable insights across Client business units. The ideal candidate will bring a forward-looking mindset, translating strategic vision into practical architecture, while driving innovation, cost efficiency, and measurable business outcomes.
Key Responsibilities
- Define and architect a scalable, enterprise-wide Revenue Data Platform to support diverse business needs
- Translate business vision into robust data architecture, design patterns, and implementation roadmap
- Develop proof of concepts (POCs) to validate architectural decisions and accelerate adoption
- Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS
- Collaborate closely with engineering teams to ensure hands-on alignment and execution
- Incorporate cost optimization strategies into architecture and platform design
- Deliver incremental value aligned to specific business units through phased implementation
- Ensure data solutions enable high-quality, secure, and governed data access across the enterprise
Required Qualifications
- Proven experience as a Data Architect designing and implementing large-scale data platforms
- Strong expertise in cloud data ecosystems (Azure preferred; AWS experience is a plus)
- Hands-on experience with Snowflake, Databricks, and modern data engineering practices
- Experience working with CI/CD tools such as GitLab
- Ability to bridge strategic architecture and hands-on engineering execution
- Strong understanding of data modeling, data governance, and data platform scalability
Preferred Qualifications
- Experience in Finance/Revenue domains
- Familiarity with enterprise platforms such as SAP and Oracle
- Exposure to AI/LLM tools (e.g., Claude) and their integration into data platforms
Operational Management
- Establish governance, stewardship, and frameworks for managing data across the organization
- Develop and promote data management methodologies and standards
- Select and implement the appropriate tools, software, applications, and systems to support data technology goals
- Collaborate with project managers and business teams for all projects involving enterprise data
- Address data-related issues with systems integration, compatibility, and multi-platform integration
- Act as a leader and advocate of data management, including coaching, training, and developing
- Implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
- Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture
- Identify and develop opportunities for data reuse, migration, or retirement
Project Control and Review
- Perform data architecture design review
- Identify opportunities for optimization of cost, time and asset utilization in complex projects and advise relevant teams accordingly where possible
- Provide advice to teams facing complex technical issues in the course of project delivery
- Conduct planned and unplanned technical audits for complex projects as applicable
- Define and measure project and program specific architectural and technology quality metrics
Data Design & Definition
- Ensure alignment of the high-level architecture with the existing client need and business logic / review design prepared by architects
- Ensure the involvement of appropriate teams in data design
- Ensure technical integrate ability, requirements compliance of the solution, especially in case of a multi group / multi-vendor program
- Involve external partners / horizontals as appropriate
- Provide guidance to the team around the usage of data architecture and experience in solution implementation, product selection and definition, configuration, migration and transformations between cloud and hosted solutions
- Take responsibility for developing cutting edge wallet applications
- Ensure UST architecture principles and QOA (Quality of Architecture) are maintained
- Analyse trade-offs and provide recommendations, if any, on the data architecture
- Identify opportunities for efficiency improvements
- Understand the various work streams and the technologies necessary to deliver on large programs
- Resolve any issues based on industry expertise / partners leverage
- Provide best in class technology and solution options to customers with detailed examples and case studies
- Guide customer on process and technology improvements to achieve agility and quick results
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here. At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $50.00/hr.
Data Architect Job Roles in Texas
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Search Data Architect Jobs in TexasData Architect Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data architects in Texas?
Several large Texas-based employers have consistent H-1B sponsorship histories for data architect roles. Dell Technologies in Round Rock, AT&T in Dallas, Amazon Web Services in Austin, and ExxonMobil in Houston have all appeared in Department of Labor LCA disclosure data for data architecture positions. Large consulting firms with Texas offices, including Deloitte and Accenture, also sponsor data architects regularly.
Which visa types are most common for data architect roles in Texas?
The H-1B is by far the most common visa category for data architects in Texas, as the role typically requires a bachelor's degree or higher in computer science, information systems, or a related field, meeting the specialty occupation standard. Candidates already in the U.S. on OPT or STEM OPT extension often transition to H-1B through employer sponsorship. The L-1B is another pathway for multinational employees transferring specialized knowledge.
Which cities in Texas have the most data architect sponsorship jobs?
Austin leads in tech-sector data architect hiring, supported by a growing cluster of cloud and software companies. Dallas and its suburbs, including Plano and Irving, concentrate financial services and telecom employers that hire data architects at scale. Houston offers opportunities in energy, healthcare IT, and logistics. San Antonio has a smaller but emerging cybersecurity and government contracting sector with some sponsorship activity.
How to find data architect visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international candidates and filters data architect roles in Texas by visa sponsorship eligibility, so you're not sorting through listings that won't work for your situation. Search by city or employer type to narrow down openings in Austin's tech sector, Dallas's finance corridor, or Houston's energy industry. Filtering by sponsorship type helps you identify H-1B or OPT-friendly roles directly.
Are there any Texas-specific considerations for data architect sponsorship candidates?
Texas has no state income tax, which affects take-home pay calculations when evaluating offers. The Department of Labor sets prevailing wage levels for data architect roles by metropolitan area, so the required minimum wage in Austin's tech corridor differs from smaller Texas markets. Texas A&M and UT Austin both produce significant numbers of computer science and data engineering graduates, creating a competitive local talent pool that shapes how employers approach international hiring.
What is the prevailing wage for sponsored data architect jobs in Texas?
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.