Databricks H-1B Visa Sponsorship Jobs USA
Databricks is a consistent H-1B sponsor in the data and AI software space, regularly filing petitions for engineers, data scientists, and technical product roles. For international candidates targeting high-growth tech companies, Databricks represents a strong and established sponsorship option.
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Get Access To All JobsAbout Databricks
At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business.
The Role
We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure. This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams.
You Will Have The Opportunity To:
Lead Reliability Strategy + Multi-Quarter Roadmaps
- Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams.
- Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships.
Drive Execution of Critical Reliability Programs
- Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery.
- Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements.
Partner Deeply with Engineering & Influence Technical Direction
- Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions.
- Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready.
- Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling.
Elevate Reliability Culture Across the Organization
- Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness.
- Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams.
- Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness.
What We Look For:
Required Experience & Qualifications
- 10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments.
- Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns.
- Demonstrated success leading Reliability Programs at scale - including availability, failover, operational excellence, incident reduction, or dependency hardening.
- Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred.
- Experience partnering directly with senior engineering leadership to define strategy and drive large, multi-team initiatives.
- Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics.
- Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines.
- Experience delivering programs across multiple clouds and/or large-scale cloud-native services.
- Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms.
Preferred Qualifications
- Background in distributed systems engineering, SRE, platform infrastructure, or cloud services.
- Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture.
- Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks.
- Expertise using Jira or equivalent tools for program tracking and execution.
- Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.
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 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 anticipates 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. Local Pay Range $189,800—$256,160 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
About Databricks
At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business.
The Role
We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure. This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams.
You Will Have The Opportunity To:
Lead Reliability Strategy + Multi-Quarter Roadmaps
- Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams.
- Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships.
Drive Execution of Critical Reliability Programs
- Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery.
- Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements.
Partner Deeply with Engineering & Influence Technical Direction
- Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions.
- Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready.
- Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling.
Elevate Reliability Culture Across the Organization
- Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness.
- Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams.
- Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness.
What We Look For:
Required Experience & Qualifications
- 10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments.
- Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns.
- Demonstrated success leading Reliability Programs at scale - including availability, failover, operational excellence, incident reduction, or dependency hardening.
- Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred.
- Experience partnering directly with senior engineering leadership to define strategy and drive large, multi-team initiatives.
- Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics.
- Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines.
- Experience delivering programs across multiple clouds and/or large-scale cloud-native services.
- Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms.
Preferred Qualifications
- Background in distributed systems engineering, SRE, platform infrastructure, or cloud services.
- Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture.
- Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks.
- Expertise using Jira or equivalent tools for program tracking and execution.
- Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.
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 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 anticipates 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. Local Pay Range $189,800—$256,160 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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
How to Get Visa Sponsorship in Databricks H-1B Visa Sponsorship Jobs USA
Target engineering and data roles first
Databricks builds its workforce around software engineers, data engineers, and machine learning specialists. These technical roles in the Technology and Software sector are where H-1B sponsorship is most consistently offered, so prioritize applications in these departments.
Confirm sponsorship before applying
Not every open role at Databricks will include H-1B sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and confirm Databricks is actively sponsoring for the specific role you want.
Understand Databricks's H-1B timeline
H-1B cap-subject petitions are filed in April for an October 1 start. If Databricks extends you an offer, work with their immigration team early to confirm whether your role qualifies as cap-exempt or falls under the annual lottery.
Highlight domain expertise in data and AI
Databricks specializes in unified data analytics and AI infrastructure. Demonstrating hands-on experience with platforms like Apache Spark, Delta Lake, or MLflow makes your profile more competitive for roles where Databricks is most likely to invest in H-1B sponsorship.
Ask about sponsorship during the recruiter screen
Raise H-1B sponsorship in your first recruiter conversation, not after an offer. Databricks recruiters are familiar with the process, and confirming sponsorship eligibility early prevents misaligned expectations for both sides late in the hiring cycle.
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Get Access To All JobsFrequently Asked Questions
Does Databricks sponsor H-1B visas?
Yes, Databricks sponsors H-1B visas and has an established track record of doing so across its Technology and Software workforce. The company works with immigration counsel to support international employees through the H-1B process, including cap-subject lottery filings and cap-exempt transfers for eligible candidates.
Which roles and departments at Databricks typically receive H-1B sponsorship?
H-1B sponsorship at Databricks is most common in software engineering, data engineering, machine learning, and technical product management. These roles align closely with the specialty occupation requirements the H-1B demands. Sales, recruiting, and non-technical support roles are less likely to qualify or receive sponsorship support.
How do I navigate the H-1B application process at Databricks?
Once Databricks extends an offer to an H-1B candidate, their internal immigration team or outside counsel manages the petition. You will need to provide educational credentials, employment history, and documentation supporting your specialty occupation status. The employer bears the filing fees and coordinates directly with USCIS on your behalf.
How do I find H-1B jobs at Databricks that are open to sponsorship?
Not every Databricks listing explicitly states sponsorship availability, which makes it worth using a platform that tracks real filing history. Migrate Mate lets you filter open roles by verified H-1B sponsorship, so you can focus your Databricks applications on positions where sponsorship is a realistic outcome rather than guessing from job descriptions.
What timeline should I expect for H-1B sponsorship at Databricks?
For cap-subject petitions, Databricks must file in the April lottery window for an October 1 start date, meaning the process can take six months or longer from offer to work authorization. Cap-exempt transfers from another H-1B employer can be filed year-round and typically take two to four months without premium processing.
What is the prevailing wage for H-1B jobs at Databricks?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.
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