Databricks Visa Sponsorship USA
Databricks is one of the most active visa sponsors in the U.S. tech industry, known for backing international talent across both nonimmigrant and immigrant visa pathways. If you're an international candidate in data engineering, AI, or cloud infrastructure, Databricks has a strong track record of sponsoring the full immigration journey.
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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 Companies
How to Get Visa Sponsorship in Databricks Visa Sponsorship USA
Target engineering and data roles first
Databricks builds its product around data intelligence and AI, so software engineering, machine learning, and data platform roles drive the bulk of its sponsorship activity. These teams have the strongest precedent for sponsoring international candidates.
Understand the full visa pathway Databricks offers
Databricks sponsors both nonimmigrant visas like H-1B and TN and permanent residence pathways including EB-2 and EB-3. If long-term U.S. residency matters to you, ask recruiters directly about their Green Card support process during early conversations.
Research which Databricks teams are actively hiring sponsored roles
Not every open role at a large tech company comes with sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your applications on positions where international candidates are genuinely considered.
Leverage Databricks's size as a sponsorship advantage
Large, well-funded technology companies like Databricks have in-house immigration infrastructure and established relationships with immigration counsel, which makes the sponsorship process more predictable and better supported than at smaller employers.
Position your skills around Databricks's core product areas
Databricks operates at the intersection of cloud, AI, and open-source data tooling. Candidates with hands-on experience in Apache Spark, Delta Lake, MLflow, or cloud data platforms are well-positioned for roles where Databricks has historically sponsored international talent.
Databricks jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Does Databricks sponsor H-1B visas?
Yes, Databricks sponsors H-1B visas and is one of the more active H-1B sponsors among U.S. technology companies. The company primarily sponsors H-1B petitions for technical roles in software engineering, machine learning, and data infrastructure. Sponsorship is most common for candidates already in the H-1B pipeline through OPT or an H-1B transfer from a previous employer.
Which visa types does Databricks sponsor?
Databricks sponsors H-1B and TN visas for nonimmigrant work authorization, and supports EB-2 and EB-3 Green Card pathways for eligible employees pursuing permanent residence. The company also hires F-1 OPT candidates, including those requiring STEM OPT extensions. Sponsorship availability depends on the role, department, and your current immigration status.
Which roles at Databricks are most likely to receive visa sponsorship?
Engineering roles, including software engineers, machine learning engineers, and data platform engineers, represent the core of Databricks's sponsored workforce. Product management, solutions engineering, and research roles also see sponsorship activity. Roles that require specialized technical skills aligned with Databricks's core product, particularly cloud data and AI tooling, have the strongest sponsorship precedent.
How do I find open roles at Databricks that offer visa sponsorship?
Migrate Mate lets you browse Databricks job openings filtered by verified sponsorship history, so you can focus on positions where international candidates have genuinely been sponsored before. This saves time compared to applying broadly and discovering sponsorship limitations late in the process. Search by role type or visa category to narrow your results.
How do I approach the Databricks application process as an international candidate?
Be transparent about your visa status early in the recruiter screen so both sides can confirm sponsorship is available for that specific role. Databricks has established immigration support infrastructure, so sponsors are generally well-equipped to manage the process. If you're on OPT, confirm your remaining authorization window and ask explicitly about H-1B sponsorship timelines before accepting any offer.
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