Databricks Jobs Hiring Now
Databricks is hiring for 653 open roles on Migrate Mate as of July 16, 2026, concentrated in AI (Artificial Intelligence) and solutions engineering & architecture, with listed salaries up to about $605,000. Migrate Mate updates Databricks's live openings daily. Databricks is a data and AI technology company that builds platforms for data engineering, machine learning, and analytics used by organizations across industries.
Find Databricks JobsOverview
Databricks hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 653
- Top team
- AI (Artificial Intelligence)
- Seniority
- Manager level or above
- Work type
- 9% remote or hybrid
- Top location
- Mountain View
- Salary range
- $87,000–$605,000
Listed salaries for Databricks roles on Migrate Mate range from about $87,000 to $605,000 per year across 653 open roles, as of July 16, 2026. Some roles list hourly contract rates.
Open Roles at Databricks
Showing 25 of 653+ Databricks jobs
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
- Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks
- Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
- Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise
- Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
- Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:
- Main use cases moving from ‘win’ to production
- Enablement / user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
- Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
- Executive and operational governance
- Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression
What we look for:
- 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Understanding of solution architecture for distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverable
- Technical program or project management, including accountability for accounts, stakeholders, and resources
- Experience resolving complex, high-stakes escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
- Track record of overachievement against quota, goals, or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
- Can travel up to 30% when needed
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.
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.
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.
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
- Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks
- Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
- Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise
- Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
- Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:
- Main use cases moving from ‘win’ to production
- Enablement / user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
- Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
- Executive and operational governance
- Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression
What we look for:
- 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Understanding of solution architecture for distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverable
- Technical program or project management, including accountability for accounts, stakeholders, and resources
- Experience resolving complex, high-stakes escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
- Track record of overachievement against quota, goals, or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
- Can travel up to 30% when needed
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.
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.
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
Working at Databricks
Databricks's 653 open roles are manager level or above, and about 9% are remote or hybrid. The most active teams are AI (Artificial Intelligence), solutions engineering & architecture, and business analysis. Databricks develops cloud-based platforms that help organizations manage large-scale data pipelines, build machine learning models, and run analytics workloads. Its products are used across industries including technology, manufacturing, retail, and the public sector, with dedicated field and engineering teams supporting customers in each vertical. Most Databricks roles are based in Mountain View, with some in San Francisco and New York.
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Browse jobs by roleDatabricks Jobs: Frequently Asked Questions
How many jobs is Databricks hiring for right now?
Databricks is hiring for 653 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in AI (Artificial Intelligence) and solutions engineering & architecture. Roles span engineering, solutions architecture, field operations, and corporate functions such as finance and payroll. Migrate Mate pulls the latest Databricks postings each day so the count reflects what is actively open.
What kinds of roles does Databricks hire for?
The most active teams are AI (Artificial Intelligence), solutions engineering & architecture, and business analysis. Databricks typically hires across solutions architecture, forward deployed engineering, field engineering management, machine learning engineering, strategy, and corporate functions such as finance and payroll. Industry-aligned roles focused on manufacturing, retail, public sector, and technology are common in the current openings. Most postings are manager level or above.
Are Databricks jobs remote or in-person?
Mostly on-site. About 9% of Databricks's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Mountain View. Each Databricks listing shows its work location so you can filter before applying.
How do I apply to a job at Databricks?
Find a Databricks role on Migrate Mate, then follow the listing through to Databricks's own careers site to submit your application. Databricks manages its hiring process directly, including application review, interviews, and offers. Migrate Mate keeps the listings current so you can browse what is open and click through to apply on Databricks's site.
What do Databricks jobs pay?
Listed salaries for Databricks roles on Migrate Mate range from about $87,000 to $605,000 per year as of July 16, 2026, with most postings at manager level or above. Some roles list hourly contract rates. Exact pay is set by Databricks and shown on each listing.
Does Databricks hire entry-level?
Most of Databricks's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual Databricks listings for stated experience requirements.
Where is Databricks hiring?
Most Databricks roles are based in Mountain View, with some in San Francisco and New York, and about 9% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.