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Databricks Product Owner Jobs (NOW HIRING)

Stellent IT LLC

Data Product Owner

Burbank, CA · On-site

Data Product Owner Burbank, California(Hybrid) Phone and Video Long Term Looking to hire an ... Databricks, Snowflake) are a huge plus * Experience working with major data visualization or ...

kestra

Data Product Owner

Encino, TX

The Product Owner serves as a liaison between business stakeholders and the development team ... Data Lake) and Databricks. * Strong familiarity with data warehousing concepts, data ingestion ...

kestra

Data Product Owner

Encino, TX

The Product Owner serves as a liaison between business stakeholders and the development team ... Data Lake) and Databricks. * Strong familiarity with data warehousing concepts, data ingestion ...

Associa

Product Owner

Dallas, TX · On-site

We're looking for a Product Owner who can operate inside complex, data-heavy environments and bring ... Partner with data engineers working in environments like Databricks * Help shape data pipelines ...

Kestra Holdings

Tech Data Product Owner

Tempe, AZ · On-site

The Product Owner serves as a key liaison between business leaders, data governance, and technical ... Data Lake) and Databricks. * Strong familiarity with data warehousing concepts, data ingestion ...

Southern Company

AI Product Owner

Atlanta, GA · On-site

The AI Product Owner will own end-to-end execution of prioritized use cases-coordinating across ... Preferred experience with Databricks, Azure, or any other cloud data platforms * Familiarity with ...

Southern Company

AI Product Owner

Atlanta, GA · On-site

The AI Product Owner will own end-to-end execution of prioritized use cases-coordinating across ... Preferred experience with Databricks, Azure, or any other cloud data platforms * Familiarity with ...

Southern Company

AI Product Owner

Atlanta, GA · On-site

The AI Product Owner will own end-to-end execution of prioritized use cases-coordinating across ... Preferred experience with Databricks, Azure, or any other cloud data platforms * Familiarity with ...

Ziosk

Data Product Owner (on-site)

Plano, TX · On-site

They are seeking a highly experienced Data Product Owner to manage the Enterprise Data department ... Databricks, Looker, Tableau, Power BI, Dash, or modern analytics stacks. • Familiarity with AI ...

Ziosk

Data Product Owner (on-site)

Plano, TX · On-site

They are seeking a highly experienced Data Product Owner to manage the Enterprise Data department ... Databricks, Looker, Tableau, Power BI, Dash, or modern analytics stacks. • Familiarity with AI ...

Ziosk

Data Product Owner (on-site)

Dallas, TX · On-site

They are seeking a highly experienced Data Product Owner to manage the Enterprise Data department ... Databricks, Looker, Tableau, Power BI, Dash, or modern analytics stacks. • Familiarity with AI ...

Primoris

Databricks Senior Architect

Dallas, TX

You will act as a trusted technical advisor and delivery owner , working closely with Primoris ... Implement Databricks product innovations, private previews, and upgrades following change ...

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All JobsDatabricks Product Owner Jobs

Databricks Product Owner information

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$41.5K

$112.9K

$164.5K

How much do databricks product owner jobs pay per year?

As of Jun 5, 2026, the average yearly pay for databricks product owner in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Databricks Product Owner vs Data Engineer?

AspectDatabricks Product OwnerData Engineer
Required CredentialsProduct management certifications, knowledge of Databricks platformComputer science degree, SQL, Spark, cloud certifications
Work EnvironmentAgile teams, product development, cross-functional collaborationData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech companies, data-driven organizations using DatabricksData-centric roles across various industries leveraging Databricks

The Databricks Product Owner focuses on managing product development, prioritizing features, and aligning data initiatives with business goals. In contrast, a Data Engineer builds and maintains data pipelines, ensuring data quality and accessibility. While both roles work within the Databricks ecosystem, the Product Owner emphasizes strategic planning and stakeholder communication, whereas the Data Engineer concentrates on technical implementation and data infrastructure.

How does a Databricks Product Owner typically collaborate with data engineering and analytics teams throughout a project lifecycle?

A Databricks Product Owner serves as the bridge between business stakeholders and technical teams, regularly working alongside data engineers and analysts to define project requirements, prioritize features, and clarify user stories. They facilitate agile ceremonies, gather feedback on prototypes, and ensure that deliverables align with business objectives and Databricks best practices. Close collaboration is essential for refining the backlog, troubleshooting data pipeline challenges, and delivering scalable, high-impact solutions within the Databricks ecosystem.

What is a Databricks Product Owner?

A Databricks Product Owner is a professional responsible for overseeing the development and implementation of products or solutions using the Databricks platform. They act as a bridge between business stakeholders and technical teams, defining product requirements, prioritizing features, and ensuring the delivery aligns with business goals. Their role involves managing the product backlog, collaborating with data engineers and data scientists, and optimizing workflows to leverage Databricks’ capabilities for big data analytics and machine learning. The Product Owner ensures the delivered solutions meet user needs and drive value for the organization.

What are the key skills and qualifications needed to thrive as a Databricks Product Owner, and why are they important?

To thrive as a Databricks Product Owner, you need a solid background in data engineering, analytics, and product management, often supported by experience with cloud technologies and agile methodologies. Familiarity with Databricks, Apache Spark, cloud platforms like AWS/Azure, and certification in product ownership (such as CSPO) are commonly required. Strong communication, stakeholder management, and problem-solving skills set outstanding candidates apart. These competencies enable effective alignment of technical solutions with business goals, ensuring the successful delivery of data-driven products.
Infographic showing various Databricks Product Owner job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,891 per year, or $54.3 per hour.
Technical Product Owner

Technical Product Owner

NAVA Software Solutions

New Brunswick, NJ • On-site

Full-time

Posted 19 days ago

Job description

NAVA Software is looking for a Technical Product Owner
Details:
Technical Product Owner
Location: New Brunswick, NJ (3 days/week onsite)
Duration: 6-12 months
What You Will Do:
  • Assist in the definition of release scope and objectives, involving all relevant stakeholders and ensuring technical feasibility.
  • Drive integration with popular tools and services in the broader data orchestration ecosystem.
  • Ensure that releases are delivered on time, within scope and within budget.
  • Measure and track project performance using appropriate tools and techniques.
  • Manage the relationship with the client and all stakeholders.
  • cloud-based system recommend and implement changes as the system changes over time.

Skills and Experience You Will Need:
Required:
  • 8-10 years of experience managing product strategies and roadmaps
  • Must have technical expertise in Databricks.
  • Possesses in-depth knowledge of data processing techniques and handling large data sets.
  • Proficient in Pyspark, Spark SQL & Spark streaming for processing data for various use cases, creation of an optimized storage layer, scheduling features for job automation.
  • Solid understanding of cloud infrastructure (AWS, Azure)
  • Working knowledge of Apache Spark's execution model, query planning and execution and familiarity with Big Data technology
  • Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
  • Own end-to-end product management processes.
  • Meet with client teams (business, technical and quality) to take detailed briefs and clarify specific requirements.
  • Knowledge of Agile, SAFe and Waterfall software development methodologies
  • Highly proficient in product roadmap planning in alignment to business goals and objectives; maintain comprehensive product related documentation.
  • Track project deliveries and report and escalate to management as needed.
  • Delegate project tasks based on individual strengths, skill sets and experience levels.

Desired:
  • Certified Scrum Product Owner (CSPO), Certified Scrum Master (CSM) is a plus.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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