Databricks Jobs Hiring Now
Databricks is hiring for 381 open roles on Migrate Mate as of August 31, 2026, concentrated in solutions engineering & architecture and software engineering, 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 August 31, 2026.
- Open jobs
- 381
- Top team
- Solutions Engineering & Architecture
- Seniority
- Manager level or above
- Work type
- 25% remote or hybrid
- Top location
- San Francisco
- Salary range
- $94,000–$605,000
Listed salaries for Databricks roles on Migrate Mate range from about $94,000 to $605,000 per year across 381 open roles, as of August 31, 2026. One role lists an hourly contract rate.
Open Roles at Databricks
Showing 25 of 381+ Databricks jobs
PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.
The impact you will have:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as a trusted technical advisor to customers across a variety of domains
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
What we look for:
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through AI
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
- Willing to travel once every 4-8 weeks to see customers (as 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 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.
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.
PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.
The impact you will have:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as a trusted technical advisor to customers across a variety of domains
- Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
What we look for:
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through AI
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
- Willing to travel once every 4-8 weeks to see customers (as 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 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.
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 381 open roles are manager level or above, and about 25% are remote or hybrid. The most active teams are solutions engineering & architecture, software engineering, and sales. 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 San Francisco, with some in Mountain View and United States.
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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 381 open roles on Migrate Mate as of August 31, 2026, updated daily, concentrated in solutions engineering & architecture and software engineering. 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 solutions engineering & architecture, software engineering, and sales. 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?
A mix of remote and on-site. About 25% of Databricks's open roles on Migrate Mate are remote or hybrid as of August 31, 2026, with the rest based in San Francisco. 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 $94,000 to $605,000 per year as of August 31, 2026, with most postings at manager level or above. One role lists an hourly contract rate. 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 August 31, 2026. Entry-level openings are limited. Check individual Databricks listings for stated experience requirements.
Where is Databricks hiring?
Most Databricks roles are based in San Francisco, with some in Mountain View and United States, and about 25% offer remote or hybrid work as of August 31, 2026. Migrate Mate shows the location on each listing.