Databricks Project Manager information
See salary details
$44.5K - $54.5K
4% of jobs
$54.5K - $64.5K
6% of jobs
$64.5K - $74.5K
13% of jobs
$75.3K is the 25th percentile. Wages below this are outliers.
$74.5K - $84.5K
16% of jobs
The median wage is $91.3K / yr.
$84.5K - $94.5K
15% of jobs
$94.5K - $104.5K
14% of jobs
$109.7K is the 75th percentile. Wages above this are outliers.
$104.5K - $114.5K
12% of jobs
$114.5K - $124.5K
9% of jobs
$124.5K - $134.5K
5% of jobs
$134.5K - $144.5K
3% of jobs
$144.5K - $154.5K
2% of jobs
How much do databricks project manager jobs pay per year?
As of Sep 11, 2026, the average yearly pay for databricks project manager in the United States is $96,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $113,000.00 per year, depending on experience, location, and employer.
Databricks Project Managers are professionals who oversee and coordinate data analytics and engineering projects that utilize the Databricks platform. They are responsible for planning, executing, and delivering projects on time while managing resources, budgets, and communication among stakeholders. Their role involves understanding both the technical aspects of Databricks and the business objectives, ensuring that teams collaborate efficiently to achieve project goals. They also help identify risks, resolve issues, and ensure best practices in data management and analytics are followed.
To thrive as a Databricks Project Manager, you need a strong background in data analytics, project management methodologies, and experience with cloud platforms, often supported by a relevant degree and certifications like PMP or Agile. Familiarity with Databricks, Apache Spark, cloud services (such as AWS or Azure), and project tracking tools like Jira is typically required. Exceptional communication, leadership, and problem-solving skills help manage cross-functional teams and stakeholders effectively. These skills ensure efficient project delivery, alignment with business goals, and successful implementation of data-driven solutions.
A Databricks Project Manager regularly works alongside data engineering and data science teams to coordinate project timelines, clarify requirements, and ensure deliverables align with business objectives. They facilitate communication between stakeholders and technical teams, help resolve blockers, and monitor progress through agile methodologies like Scrum or Kanban. By organizing regular stand-ups, sprint planning, and review meetings, they keep everyone aligned and ensure the platform is leveraged effectively for large-scale data processing and analytics.
What are popular job titles related to Databricks Project Manager jobs?
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