Databricks H-1B Visa Sponsorship Jobs USA
Databricks is a consistent H-1B visa 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 JobsROLE SUMMARY
The Global Learning Operations & Transformation Manager is an enterprise operations leader responsible for modernizing and scaling the operating foundation that powers ENGAGE (Training Operations) globally. This role will establish and lead a Global Center of Excellence (CoE), driving AI-enabled operational transformation across Learning & Enablement (L&E) through scalable workflows, governance, automation, analytics, and operational discipline. The role is focused on improving how global systems, teams, and processes work together enabling ENGAGE to operate with greater predictability, visibility, efficiency, and commercial alignment across regions and programs.
WHY THIS ROLE MATTERS
This is a transformation year for Learning & Enablement. As learner demand, partners, SKUs, and regional complexity continue to scale, traditional operating models are no longer sufficient. Success now requires scalable operating mechanisms, AI-enabled workflows, stronger governance, and clearer operational accountability across regions and programs.
THIS ROLE WILL HELP ENGAGE SCALE SUSTAINABLY BY
- Improving operational efficiency and consistency
- Reducing manual dependency and operational friction
- Increasing visibility into demand, risk, and capacity
- Translating operational improvements into measurable business impact
The role will help shape how Learning & Enablement operates in an increasingly AI-enabled environment.
KEY RESPONSIBILITIES
GLOBAL OPERATING MODEL & CoE LEADERSHIP
- Establish and lead the Global Center of Excellence (CoE) for ENGAGE operations, governance, tooling, and analytics.
- Design and operationalize a scalable hub-and-spoke operating model balancing global consistency with strong regional execution.
- Standardize planning cadences, operational playbooks, decision rights, and execution frameworks.
- Embed accountability, operational rigor, and measurable outcomes into global reviews and operating rhythms.
AI-ENABLED OPERATIONS & WORKFLOW TRANSFORMATION
- Lead the evolution of ENGAGE’s AI-enabled operational workflows, automation strategy, and operational telemetry.
- Operationalize real-time KPIs, dashboards, and exception monitoring to improve visibility into demand, risk, and operational health.
- Drive automation and intelligent workflow design across scheduling, forecasting, certification, onboarding, and partner operations.
- Establish governance principles for AI-enabled workflows, ensuring reliability, transparency, scalability, and measurable business value.
COMMERCIAL OPERATIONS & REVENUE ALIGNMENT
- Partner with Finance, Revenue Operations, and Commercialization teams to improve forecasting rigor, operational controls, utilization visibility, and scalable revenue-supporting processes globally.
- Translate operational improvements into measurable business outcomes, including capacity unlock, reduced partner spend, improved utilization, and operational efficiency gains.
- Support executive-grade reporting, operational visibility, and scalable governance mechanisms.
- Embed operational controls aligned with long-term scalability and audit readiness.
ENTERPRISE GOVERNANCE & RISK MANAGEMENT
- Build globally consistent operational governance across planning, reporting, exception handling, workflow controls, and operational oversight.
- Establish clear ownership models, escalation paths, and decision rights to reduce ambiguity and execution friction.
- Ensure operational resilience, compliance readiness, and structured risk mitigation across regions and programs.
CHANGE LEADERSHIP & GLOBAL ALIGNMENT
- Lead global adoption of standardized workflows, governance frameworks, and AI-enabled operating practices.
- Drive consistent operational maturity and execution standards across regions.
- Act as a strategic advisor to L&E and operational leadership on scalability, operational health, and organizational effectiveness.
- Influence across distributed, matrixed teams to drive alignment, accountability, and operational consistency.
WHAT SUCCESS LOOKS LIKE
- A predictable, scalable global operating model with clear ownership and operational accountability, while also supporting regional nuances.
- Improved visibility into global demand, capacity, operational health, and execution risk.
- Reduced operational friction, cycle times, and manual intervention across core ENGAGE workflows.
- Demonstrable business impact through improved efficiency, utilization, scalability, and operational consistency.
- Increased adoption of standardized workflows, automation, and AI-enabled tooling across regions.
- A stronger governance and operational foundation supporting long-term L&E scale.
REQUIRED QUALIFICATIONS
- 10+ years of experience in GTM Operations, Revenue Operations, Enablement Operations, Program Leadership, or Operational Transformation within high-growth global technology companies.
- Proven experience building and scaling enterprise operating models, governance frameworks, and cross-functional execution mechanisms.
- Demonstrated success leading AI-enabled operational transformation initiatives, including automation, analytics, workflow modernization, and scalable process design.
- Strong commercial and operational acumen, including forecasting, revenue operations, utilization economics, and business performance drivers.
- Experience partnering closely with Finance, Legal, Strategy, Product, and Revenue leadership teams.
- Exceptional analytical rigor, systems thinking, and executive-level communication skills.
PREFERRED QUALIFICATIONS
- Experience modernizing and scaling enablement operations through process, tooling, and operating model transformation.
- Hands-on experience with analytics platforms, data workflows, or Databricks technologies.
- Demonstrated success implementing AI and automation solutions within operational workflows at scale.
- Exposure to audit processes, SOX readiness, or public-company operational and financial controls.
- Experience operating in globally distributed, cross-functional environments with complex stakeholder alignment needs.
WHY JOIN US
You will help shape the operating foundation that enables ENGAGE and Learning & Enablement to scale with greater speed, consistency, and operational discipline in an AI-enabled environment. This is a high-visibility role with broad cross-functional influence, focused on improving how systems, workflows, governance, and automation come together to support customer and business outcomes globally. If you are energized by simplifying complexity, building scalable operating mechanisms, and driving meaningful operational transformation, this role offers the opportunity to create lasting impact across the organization.
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 $148,600—$204,250 USD
Zone 2 Pay Range $133,700—$183,800 USD
Zone 3 Pay Range $126,200—$173,600 USD
Zone 4 Pay Range $118,900—$163,450 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 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.
ROLE SUMMARY
The Global Learning Operations & Transformation Manager is an enterprise operations leader responsible for modernizing and scaling the operating foundation that powers ENGAGE (Training Operations) globally. This role will establish and lead a Global Center of Excellence (CoE), driving AI-enabled operational transformation across Learning & Enablement (L&E) through scalable workflows, governance, automation, analytics, and operational discipline. The role is focused on improving how global systems, teams, and processes work together enabling ENGAGE to operate with greater predictability, visibility, efficiency, and commercial alignment across regions and programs.
WHY THIS ROLE MATTERS
This is a transformation year for Learning & Enablement. As learner demand, partners, SKUs, and regional complexity continue to scale, traditional operating models are no longer sufficient. Success now requires scalable operating mechanisms, AI-enabled workflows, stronger governance, and clearer operational accountability across regions and programs.
THIS ROLE WILL HELP ENGAGE SCALE SUSTAINABLY BY
- Improving operational efficiency and consistency
- Reducing manual dependency and operational friction
- Increasing visibility into demand, risk, and capacity
- Translating operational improvements into measurable business impact
The role will help shape how Learning & Enablement operates in an increasingly AI-enabled environment.
KEY RESPONSIBILITIES
GLOBAL OPERATING MODEL & CoE LEADERSHIP
- Establish and lead the Global Center of Excellence (CoE) for ENGAGE operations, governance, tooling, and analytics.
- Design and operationalize a scalable hub-and-spoke operating model balancing global consistency with strong regional execution.
- Standardize planning cadences, operational playbooks, decision rights, and execution frameworks.
- Embed accountability, operational rigor, and measurable outcomes into global reviews and operating rhythms.
AI-ENABLED OPERATIONS & WORKFLOW TRANSFORMATION
- Lead the evolution of ENGAGE’s AI-enabled operational workflows, automation strategy, and operational telemetry.
- Operationalize real-time KPIs, dashboards, and exception monitoring to improve visibility into demand, risk, and operational health.
- Drive automation and intelligent workflow design across scheduling, forecasting, certification, onboarding, and partner operations.
- Establish governance principles for AI-enabled workflows, ensuring reliability, transparency, scalability, and measurable business value.
COMMERCIAL OPERATIONS & REVENUE ALIGNMENT
- Partner with Finance, Revenue Operations, and Commercialization teams to improve forecasting rigor, operational controls, utilization visibility, and scalable revenue-supporting processes globally.
- Translate operational improvements into measurable business outcomes, including capacity unlock, reduced partner spend, improved utilization, and operational efficiency gains.
- Support executive-grade reporting, operational visibility, and scalable governance mechanisms.
- Embed operational controls aligned with long-term scalability and audit readiness.
ENTERPRISE GOVERNANCE & RISK MANAGEMENT
- Build globally consistent operational governance across planning, reporting, exception handling, workflow controls, and operational oversight.
- Establish clear ownership models, escalation paths, and decision rights to reduce ambiguity and execution friction.
- Ensure operational resilience, compliance readiness, and structured risk mitigation across regions and programs.
CHANGE LEADERSHIP & GLOBAL ALIGNMENT
- Lead global adoption of standardized workflows, governance frameworks, and AI-enabled operating practices.
- Drive consistent operational maturity and execution standards across regions.
- Act as a strategic advisor to L&E and operational leadership on scalability, operational health, and organizational effectiveness.
- Influence across distributed, matrixed teams to drive alignment, accountability, and operational consistency.
WHAT SUCCESS LOOKS LIKE
- A predictable, scalable global operating model with clear ownership and operational accountability, while also supporting regional nuances.
- Improved visibility into global demand, capacity, operational health, and execution risk.
- Reduced operational friction, cycle times, and manual intervention across core ENGAGE workflows.
- Demonstrable business impact through improved efficiency, utilization, scalability, and operational consistency.
- Increased adoption of standardized workflows, automation, and AI-enabled tooling across regions.
- A stronger governance and operational foundation supporting long-term L&E scale.
REQUIRED QUALIFICATIONS
- 10+ years of experience in GTM Operations, Revenue Operations, Enablement Operations, Program Leadership, or Operational Transformation within high-growth global technology companies.
- Proven experience building and scaling enterprise operating models, governance frameworks, and cross-functional execution mechanisms.
- Demonstrated success leading AI-enabled operational transformation initiatives, including automation, analytics, workflow modernization, and scalable process design.
- Strong commercial and operational acumen, including forecasting, revenue operations, utilization economics, and business performance drivers.
- Experience partnering closely with Finance, Legal, Strategy, Product, and Revenue leadership teams.
- Exceptional analytical rigor, systems thinking, and executive-level communication skills.
PREFERRED QUALIFICATIONS
- Experience modernizing and scaling enablement operations through process, tooling, and operating model transformation.
- Hands-on experience with analytics platforms, data workflows, or Databricks technologies.
- Demonstrated success implementing AI and automation solutions within operational workflows at scale.
- Exposure to audit processes, SOX readiness, or public-company operational and financial controls.
- Experience operating in globally distributed, cross-functional environments with complex stakeholder alignment needs.
WHY JOIN US
You will help shape the operating foundation that enables ENGAGE and Learning & Enablement to scale with greater speed, consistency, and operational discipline in an AI-enabled environment. This is a high-visibility role with broad cross-functional influence, focused on improving how systems, workflows, governance, and automation come together to support customer and business outcomes globally. If you are energized by simplifying complexity, building scalable operating mechanisms, and driving meaningful operational transformation, this role offers the opportunity to create lasting impact across the organization.
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 $148,600—$204,250 USD
Zone 2 Pay Range $133,700—$183,800 USD
Zone 3 Pay Range $126,200—$173,600 USD
Zone 4 Pay Range $118,900—$163,450 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 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 H-1B Jobs
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.
Leverage your OPT period strategically
If you're on F-1 OPT, Databricks can hire you immediately while sponsoring your H-1B for the next lottery cycle. Use your OPT window to prove your value on the team, which strengthens internal support for your H-1B petition.
Databricks H-1B Visa Sponsorship: Frequently 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.