Databricks
Databricks

60 Databricks Quality Assurance Engineer Jobs Hiring Near You

Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. * Mentor and Cultivate: Mentor engineers and subject ...

... high-quality solutions • MS or Ph.D. in Computer Science or related fields Company : Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a ...

... Databricks platform and by helping account teams address questions that come up during security ... You might not come from an assurance team, but you'll come up to speed with common security and ...

... Databricks platform and by helping account teams address questions that come up during security ... You might not come from an assurance team, but you'll come up to speed with common security and ...

P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest ... Bias to action and passion for delivering high-quality solutions * MS or Ph.D. in Computer Science ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

What other companies are hiring for Quality Assurance Engineer jobs?

Infographic showing various Quality Assurance Engineer job openings at Databricks in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, and 15% Remote job distribution.

Senior Staff Software Engineer - App and Partner Ecosystem

Databricks

Seattle, WA

$139K - $183K/yr

Full-time

Re-posted 6 days ago


Job description

RDQ126R35

About Databricks
At Databricks, we empower data teams to solve the world's toughest challenges-from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation.

Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed.

About the Role

We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions.

As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms.

Your Impact

  • Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers.
  • Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem.
  • Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities.
  • Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing.
  • Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals.
  • Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement.
  • Represent Databricks at industry events and conferences, influencing the broader data and AI landscape while engaging with partners, customers, and developers to shape the future of our platform.

What We're Looking For

  • Deep passion for and knowledge of the broad data and AI industry. Experience contributing to open-source projects and engaging with developer communities is a plus.
  • 10+ years of experience building data-intensive applications or systems. Strong expertise in database systems (SQL, NoSQL, OLAP/OLTP) and big data processing (Apache Spark, Flink). Experience designing high-performance APIs (REST, GraphQL, gRPC) and managing integrations.
  • Strong understanding of data security, governance, and compliance frameworks (RBAC, GDPR, HIPAA), as well as cloud infrastructure (AWS, Azure, GCP), Kubernetes, Terraform, and CI/CD pipelines.
  • Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives.
  • Ability to mentor engineers, influence architectural decisions, and advocate for best practices.
  • Excellent communication skills to evangelize Databricks' ecosystem vision internally and externally.
  • Bias for action and commitment to delivering high-quality solutions.

Join us in shaping the future of the Databricks ecosystem and enabling the next generation of data and AI innovation.