Data Architect Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the top states for data architect roles, with major employers including Mass General Brigham, Liberty Mutual, State Street, and Fidelity Investments actively hiring across Boston, Cambridge, and Waltham. The state's concentration of financial services, healthcare technology, and biotech firms creates consistent demand for experienced data architects with visa sponsorship.
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Get Access To All JobsINTRODUCTION
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.
ROLE AND RESPONSIBILITIES
As a Data Solutions Architect, you will play a crucial role in bridging the gap between our data capabilities and our clients' technical and business requirements. You will engage directly with customers and internal teams to design scalable, AI-ready data solutions, validate that what's promised can actually be delivered, and ensure every engagement is built on a foundation that holds up long after the deal closes. Your expertise in data architecture, data analysis, and cross-functional translation will be essential in driving customer satisfaction and long-term account growth.
What You Will Do:
- Collaborate with clients and internal teams to conduct technical discovery, determining the right data structure and solution design for each customer's specific use case
- Serve as the primary technical representative for solution design, working closely with prospects and existing clients to map data flow from source to every downstream system
- Architect AI-ready data layers — structuring, documenting, and governing data so it can be reliably consumed by AI agents, LLMs, and automated workflows, not just traditional reporting and CRM use cases
- Analyze data sets to validate volumes and quality at multiple stages of a solution — what's contractually committed, what's technically achievable, and what's usable — to close gaps before they become customer issues
- Design and document data matching and entity resolution approaches, reviewing results for accuracy and completeness
- Leverage AI tools, large language models, and emerging protocols like MCP (Model Context Protocol) to accelerate data exploration, documentation, and solution design
- Establish and maintain a consistent framework for data documentation, technical discovery, and solution architecture that can be used across the sales and delivery organization
- Prepare and deliver technical presentations and workshops to both technical and executive stakeholders, translating complex data architecture into clear business value
- Stay proactively engaged throughout the sales and delivery cycle, flagging scope or coverage gaps early rather than after a deal has closed
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, Business, or a related field
- 5+ years of experience in data architecture, solutions engineering, or a similar technical customer-facing role, preferably within the SaaS industry
- Strong data analysis skills, with the ability to query, interpret, and validate large datasets; working SQL knowledge is helpful but increasingly augmented by AI-assisted tooling
- Familiarity with LLMs and AI-assisted workflows (e.g., AI query/analysis copilots, MCP-based tooling) for data exploration and solution development
- Experience or strong conceptual understanding of AI-ready data layer solutioning — designing data models, schemas, and pipelines that support AI agents and automated decisioning, not just traditional BI/reporting
- Familiarity with data integration methods (APIs, flat files, direct system integrations) and common downstream platforms such as CRM, marketing automation, and data warehouses
- Excellent presentation skills, with a track record of successfully engaging both technical and executive-level stakeholders
- Exceptional interpersonal skills and the ability to build relationships with clients and internal teams
- Ability to establish structure, process, and direction, helping customers navigate technical uncertainty and move confidently forward
- The ability to connect foundational GTM data strategy to AI infrastructure outcomes across the full revenue organization
- Experience with ZoomInfo products or comparable go-to-market platforms is a plus
- Broad range of experience within large-scale database and/or data warehouse technology and analytics is a plus but not required
LOCATION
LI-Remote
About us
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
INTRODUCTION
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.
ROLE AND RESPONSIBILITIES
As a Data Solutions Architect, you will play a crucial role in bridging the gap between our data capabilities and our clients' technical and business requirements. You will engage directly with customers and internal teams to design scalable, AI-ready data solutions, validate that what's promised can actually be delivered, and ensure every engagement is built on a foundation that holds up long after the deal closes. Your expertise in data architecture, data analysis, and cross-functional translation will be essential in driving customer satisfaction and long-term account growth.
What You Will Do:
- Collaborate with clients and internal teams to conduct technical discovery, determining the right data structure and solution design for each customer's specific use case
- Serve as the primary technical representative for solution design, working closely with prospects and existing clients to map data flow from source to every downstream system
- Architect AI-ready data layers — structuring, documenting, and governing data so it can be reliably consumed by AI agents, LLMs, and automated workflows, not just traditional reporting and CRM use cases
- Analyze data sets to validate volumes and quality at multiple stages of a solution — what's contractually committed, what's technically achievable, and what's usable — to close gaps before they become customer issues
- Design and document data matching and entity resolution approaches, reviewing results for accuracy and completeness
- Leverage AI tools, large language models, and emerging protocols like MCP (Model Context Protocol) to accelerate data exploration, documentation, and solution design
- Establish and maintain a consistent framework for data documentation, technical discovery, and solution architecture that can be used across the sales and delivery organization
- Prepare and deliver technical presentations and workshops to both technical and executive stakeholders, translating complex data architecture into clear business value
- Stay proactively engaged throughout the sales and delivery cycle, flagging scope or coverage gaps early rather than after a deal has closed
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, Business, or a related field
- 5+ years of experience in data architecture, solutions engineering, or a similar technical customer-facing role, preferably within the SaaS industry
- Strong data analysis skills, with the ability to query, interpret, and validate large datasets; working SQL knowledge is helpful but increasingly augmented by AI-assisted tooling
- Familiarity with LLMs and AI-assisted workflows (e.g., AI query/analysis copilots, MCP-based tooling) for data exploration and solution development
- Experience or strong conceptual understanding of AI-ready data layer solutioning — designing data models, schemas, and pipelines that support AI agents and automated decisioning, not just traditional BI/reporting
- Familiarity with data integration methods (APIs, flat files, direct system integrations) and common downstream platforms such as CRM, marketing automation, and data warehouses
- Excellent presentation skills, with a track record of successfully engaging both technical and executive-level stakeholders
- Exceptional interpersonal skills and the ability to build relationships with clients and internal teams
- Ability to establish structure, process, and direction, helping customers navigate technical uncertainty and move confidently forward
- The ability to connect foundational GTM data strategy to AI infrastructure outcomes across the full revenue organization
- Experience with ZoomInfo products or comparable go-to-market platforms is a plus
- Broad range of experience within large-scale database and/or data warehouse technology and analytics is a plus but not required
LOCATION
LI-Remote
About us
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Data Architect Job Roles in Massachusetts
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Search Data Architect Jobs in MassachusettsData Architect Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for data architects in Massachusetts?
Financial services firms like Fidelity Investments, State Street, and Liberty Mutual are among the more active sponsors for data architect roles in Massachusetts. Healthcare and biotech employers including Mass General Brigham and Biogen also hire internationally. Large tech-adjacent employers and consulting firms operating out of Boston and Cambridge have documented H-1B visa sponsorship histories, which you can verify through Department of Labor LCA disclosure data.
Which visa types are most common for data architect roles in Massachusetts?
The H-1B is the most common visa for data architects in Massachusetts, given that 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 with Canadian or Mexican citizenship may qualify for the TN visa under the USMCA. Those with extraordinary ability or a strong research background may explore the O-1 visa or EB-1 pathways respectively.
Which cities in Massachusetts have the most data architect sponsorship jobs?
Boston is the primary hub, particularly the Seaport District and Back Bay, where financial services and healthcare technology employers are concentrated. Cambridge draws demand from biotech and life sciences companies clustered around Kendall Square. Waltham and Burlington host significant corporate technology operations along Route 128, making the I-495 corridor a secondary but meaningful market for data architect sponsorship roles.
How to find data architect visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter data architect roles by state, including Massachusetts. Rather than sorting through general job boards where sponsorship status is unclear, Migrate Mate surfaces employers with documented sponsorship histories. This is particularly useful for data architects evaluating opportunities across Boston's financial services and healthcare technology sectors, where sponsorship practices vary by company size and hiring volume.
Are there state-specific factors data architects should know about the Massachusetts job market?
Massachusetts employers must comply with federal prevailing wage requirements when sponsoring H-1B workers, and the Boston metropolitan area is designated a high-cost labor market, which affects the wage levels employers must certify. The state's deep university pipeline from MIT, Boston University, and Northeastern also means competition for sponsored roles can be significant. Data architects with experience in financial data governance, healthcare interoperability standards, or cloud data platforms tend to align well with Massachusetts employer needs.
What is the prevailing wage for sponsored data architect jobs in Massachusetts?
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.