Databricks Visa Sponsorship Jobs USA
Databricks is one of the most active visa sponsors in the data and AI industry, with a strong track record across H-1B visa and Green Card pathways. For international engineers, data scientists, and technical professionals, it's a well-established option with consistent sponsorship across engineering and research roles.
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Get Access To All JobsINTRODUCTION
At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems. As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
BASIC QUALIFICATIONS
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Ability to travel to customers 30% of the time
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
PREFERRED QUALIFICATIONS
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
INTERVIEW PROCESS:
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check #CMEG
PAY RANGE TRANSPARENCY
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
- Zone 1 Pay Range $180,000—$247,500 USD
- Zone 2 Pay Range $180,000—$247,500 USD
- Zone 3 Pay Range $180,000—$247,500 USD
- Zone 4 Pay Range $180,000—$247,500 USD
ABOUT DATABRICKS
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BENEFITS
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
OUR COMMITMENT TO DIVERSITY AND INCLUSION
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
COMPLIANCE
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
INTRODUCTION
At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems. As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
BASIC QUALIFICATIONS
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Ability to travel to customers 30% of the time
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
PREFERRED QUALIFICATIONS
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
INTERVIEW PROCESS:
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check #CMEG
PAY RANGE TRANSPARENCY
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
- Zone 1 Pay Range $180,000—$247,500 USD
- Zone 2 Pay Range $180,000—$247,500 USD
- Zone 3 Pay Range $180,000—$247,500 USD
- Zone 4 Pay Range $180,000—$247,500 USD
ABOUT DATABRICKS
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BENEFITS
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
OUR COMMITMENT TO DIVERSITY AND INCLUSION
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
COMPLIANCE
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Job Roles at Databricks
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Get Access To All JobsTips for Finding Databricks Visa Sponsorship Jobs USA
Target engineering and data science roles first
Databricks sponsors most heavily for technical positions in software engineering, machine learning, and data infrastructure. If your background aligns with its core AI and data lakehouse platform, you're applying in the highest-volume sponsorship categories the company supports.
Understand the H-1B and Green Card pipeline
Databricks sponsors both H-1B visas and employment-based Green Cards, meaning strong performers often move from temporary to permanent sponsorship. Knowing this pathway exists before you apply helps you frame long-term career conversations during interviews.
F-1 OPT holders have a clear entry point
Databricks actively sponsors F-1 OPT, making it a viable option for recent graduates before H-1B cap season. If you're finishing a CS, data science, or related degree, timing your application around OPT authorization can smooth the transition into sponsored employment.
TN visa holders should highlight cross-border technical expertise
Databricks sponsors TN visas for eligible Canadian and Mexican professionals. If you qualify under a TN category like engineer or systems analyst, emphasizing your technical depth in distributed systems or cloud infrastructure aligns with the company's core hiring focus.
Use Migrate Mate to confirm sponsorship history before applying
Databricks has a strong sponsorship track record, but verifying that before you apply saves time. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find current Databricks openings that match your visa type.
Apply well ahead of the H-1B registration window
H-1B registration opens in March each year. At an active sponsor like Databricks, offers for cap-subject candidates are typically extended months earlier. Starting your job search in the fall gives you the best chance of securing an offer with enough lead time.
Frequently Asked Questions
Does Databricks sponsor H-1B visas?
Yes, Databricks sponsors H-1B visas and is one of the more active sponsors in the data and AI technology sector. Sponsorship is concentrated in technical roles across software engineering, machine learning, and data platform development. The company also has a track record of supporting employees through the Green Card process after initial H-1B approval.
Which visa types does Databricks sponsor?
Databricks sponsors H-1B visas, employment-based Green Cards under EB-2 and EB-3 categories, F-1 OPT for recent graduates, and TN visas for eligible Canadian and Mexican nationals. The company does not currently appear to sponsor E-3 visas. Coverage spans multiple immigration pathways, which makes it a strong option for international candidates at different career stages.
Which roles at Databricks are most likely to receive visa sponsorship?
Sponsorship at Databricks is heavily concentrated in technical functions. Software engineers, machine learning engineers, data scientists, site reliability engineers, and research scientists represent the highest-volume sponsored roles. Product management and solutions engineering positions also see sponsorship, though less frequently. Roles in sales, marketing, and general administration are less commonly sponsored.
How do I find visa-sponsored jobs at Databricks?
Migrate Mate is the most efficient way to find current Databricks openings that come with confirmed visa sponsorship history. Rather than manually screening job listings or cold-applying and hoping sponsorship is available, you can filter directly for Databricks roles and see their sponsorship track record before you apply. This is particularly useful if you're working within a tight timeline on OPT or an H-1B registration window.
How do I time my application to Databricks around H-1B sponsorship?
H-1B cap registration runs in March, and USCIS requires employers to file petitions before October 1 for the new cap year. At a company like Databricks, offers for cap-subject candidates are typically extended several months before registration opens. Applying in the fall for a role starting the following fiscal year gives you the best chance of being included in the company's H-1B registration cycle.