Data Architect Jobs at VAST Data with Visa Sponsorship
Data Architect jobs at VAST Data sit at the core of how one of the most data-intensive infrastructure platforms in enterprise tech is designed and scaled. VAST has a track record of sponsoring work visas for technical hires, including H-1B visa and OPT pathways, making it a realistic target for international candidates with the right background.
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Get Access To All JobsINTRODUCTION
VAST Data is looking for a Sr. Data Analyst (Operations) to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
ROLE AND RESPONSIBILITIES
VAST is seeking a Sr. Data Analyst (Operations) to join our growing analytics team. The Sr. Data Analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will partner closely with business stakeholders in Operations to develop analytical solutions that improve VAST reporting systems, data quality, and processes.
With a focus on Operations analytics, the ideal candidate has a strong understanding of Operations programs, organizational structures, tools, best practices, and strategies. This role will collaborate with stakeholders in Supply Chain, Sourcing, Logistics, and Quality to build analytics that inform decision making, increase return on investment, and improve business outcomes. The Sr. Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations.
Essential Duties and Responsibilities
- Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
- Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
- Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
- Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
- Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
- Data Visualization: Develop and maintain sophisticated, automated dashboards that provide real-time visibility into the health of business operations
- Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data
- Stakeholder Management: Act as a primary liaison between the analytics team and business function for all requests related to data and analytics
BASIC QUALIFICATIONS
- Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
- Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on operational domains (Supply Chain, Logistics, Warehouse Operations, Service Delivery, etc.).
- Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation
- Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling
- Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
- Domain Expertise: Knowledge with Operations data sources and processes required
- Travel: Minimal travel required (approximately 10% or less annually)
PREFERRED QUALIFICATIONS
- A relentless drive and a customer-first mentality are essential.
- An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
- The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
- Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
- The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage multiple projects and deadlines with prioritizing tasks.
- Ability to thrive in a culture of transparency and direct feedback.
INTRODUCTION
VAST Data is looking for a Sr. Data Analyst (Operations) to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
ROLE AND RESPONSIBILITIES
VAST is seeking a Sr. Data Analyst (Operations) to join our growing analytics team. The Sr. Data Analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will partner closely with business stakeholders in Operations to develop analytical solutions that improve VAST reporting systems, data quality, and processes.
With a focus on Operations analytics, the ideal candidate has a strong understanding of Operations programs, organizational structures, tools, best practices, and strategies. This role will collaborate with stakeholders in Supply Chain, Sourcing, Logistics, and Quality to build analytics that inform decision making, increase return on investment, and improve business outcomes. The Sr. Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations.
Essential Duties and Responsibilities
- Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
- Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
- Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
- Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
- Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
- Data Visualization: Develop and maintain sophisticated, automated dashboards that provide real-time visibility into the health of business operations
- Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data
- Stakeholder Management: Act as a primary liaison between the analytics team and business function for all requests related to data and analytics
BASIC QUALIFICATIONS
- Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
- Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on operational domains (Supply Chain, Logistics, Warehouse Operations, Service Delivery, etc.).
- Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation
- Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling
- Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
- Domain Expertise: Knowledge with Operations data sources and processes required
- Travel: Minimal travel required (approximately 10% or less annually)
PREFERRED QUALIFICATIONS
- A relentless drive and a customer-first mentality are essential.
- An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
- The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
- Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
- The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage multiple projects and deadlines with prioritizing tasks.
- Ability to thrive in a culture of transparency and direct feedback.
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Get Access To All JobsTips for Finding Data Architect Jobs at VAST Data
Build a portfolio around unstructured data systems
VAST Data's architecture centers on eliminating storage tiers and handling massive unstructured datasets. Document projects involving object storage, NVMe, or distributed file systems before applying. Generic database design experience won't differentiate you here.
Verify your OPT timeline before submitting applications
VAST sponsors F-1 OPT, but the hiring and onboarding process at a scaling tech company can take eight to twelve weeks. If you have fewer than six months of OPT remaining, raise the H-1B cap-gap or STEM extension timeline with the recruiter early.
Target roles tied to customer-facing architecture work
VAST's Data Architect openings frequently involve pre-sales and post-sales technical engagement with enterprise clients. Positions with this scope tend to move through headcount approval faster because they're tied directly to revenue, which can accelerate the offer and sponsorship decision.
Prepare your credentials for specialty occupation documentation
USCIS requires that H-1B petitions demonstrate the role qualifies as a specialty occupation. For Data Architect roles, align your degree transcripts and job description language around data engineering, systems architecture, or computer science, not general IT.
Use Migrate Mate to surface active VAST Data openings
VAST Data posts Data Architect roles across multiple locations and team charters at the same time. Use Migrate Mate to filter specifically for VAST Data openings that flag visa sponsorship, so you're applying to the positions most likely to move forward for international candidates.
Clarify TN eligibility if you hold Canadian or Mexican citizenship
VAST sponsors TN visas, which have no lottery and can be processed at the border or a port of entry. Data Architect roles can qualify under the Systems Analyst category if the job duties and your degree align, but confirm the mapping with VAST's immigration counsel before the offer stage.
Frequently Asked Questions
Does VAST Data sponsor H-1B visas for Data Architects?
Yes, VAST Data sponsors H-1B visas for Data Architect roles. Because the H-1B has an annual cap and a lottery, timing matters. Petitions are filed in April for an October 1 start date, so if you're targeting VAST, you'll want an offer secured well before the March registration window opens. VAST's immigration counsel typically manages the filing process once an offer is extended.
How do I apply for Data Architect jobs at VAST Data?
Applications go through VAST Data's careers page, but roles can be hard to filter by sponsorship eligibility. Migrate Mate aggregates VAST Data's open Data Architect positions and flags which ones are open to visa sponsorship, so you can prioritize applications where your immigration status won't be a blocker. Tailoring your resume to VAST's specific stack, including its Universal Storage platform, strengthens your application considerably.
Which visa types does VAST Data commonly use for Data Architect hires?
VAST Data sponsors H-1B, F-1 OPT, F-1 CPT, and TN visas for technical roles including Data Architects. OPT and CPT are typically used for candidates already in the U.S. on F-1 student status. TN is available for Canadian and Mexican citizens under USMCA. H-1B is the most common long-term pathway and requires employer sponsorship through a USCIS petition.
What qualifications and experience does VAST Data look for in a Data Architect?
VAST Data's Data Architect roles typically require a bachelor's degree or higher in computer science, data engineering, or a closely related technical field. Hands-on experience with large-scale distributed storage, cloud-native architectures, and enterprise data infrastructure is weighted heavily. Because many roles involve direct client engagement, candidates who can bridge deep technical knowledge with business communication stand out in the hiring process.
How long does the visa sponsorship process take after an offer from VAST Data?
Timeline depends on visa type. OPT authorization is already in place, so work can begin immediately once an offer is accepted. TN processing at a port of entry can be same-day for Canadian citizens. H-1B sponsorship follows USCIS's standard timeline: registration in March, lottery results in April, petition filing by June, and an October 1 start date under the regular process. Premium processing is available and typically cuts adjudication to 15 business days.