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Senior Staff Software Engineer - App and Partner Ecosystem

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.



 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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. For more information regarding which range your location is in visit our page here.

 

Zone 2 Pay Range
$220,400$297,400 USD

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 TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

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.

Average salary estimate

$258900 / YEARLY (est.)
min
max
$220400K
$297400K

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What You Should Know About Senior Staff Software Engineer - App and Partner Ecosystem, Databricks

Join Databricks as a Senior Staff Software Engineer on the App and Partner Ecosystem team in Seattle, Washington, where you will play a pivotal role in shaping the future of data and AI technology. At Databricks, we empower teams to tackle some of the world's most challenging problems, enabling customer innovations through an exceptional data and AI infrastructure platform. In this position, you will define the vision and architecture for a flourishing ecosystem of applications and partners on the Databricks Data Intelligence Platform. This is an exciting opportunity to develop frameworks, APIs, and tools that simplify integrations for developers and partners, fueling impactful solutions. You'll collaborate with cross-functional teams to align technical roadmaps with strategic business goals, and you'll also lead and mentor engineers, fostering a culture of innovation and best practices. Your vast experience in building data-intensive applications or systems, coupled with your deep passion for the data and AI industry, will be critical. If you are ready to make an impact by enhancing how applications integrate into the Databricks experience, we want to hear from you!

Frequently Asked Questions (FAQs) for Senior Staff Software Engineer - App and Partner Ecosystem Role at Databricks
What responsibilities does a Senior Staff Software Engineer have at Databricks?

As a Senior Staff Software Engineer at Databricks, your responsibilities will include defining the ecosystem strategy critical for the growth of our platform. You'll develop frameworks and tools that facilitate seamless integrations and enhance the Databricks experience for developers and partners. Your role also involves leading and mentoring engineers while collaborating with various teams to ensure alignment between technical and business objectives.

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What qualifications are required for the Senior Staff Software Engineer position at Databricks?

To qualify for the Senior Staff Software Engineer role at Databricks, candidates should have over 10 years of experience in building data-intensive applications, along with strong expertise in database systems and big data processing technologies. Knowledge of security frameworks and cloud infrastructure is also essential, along with leadership abilities to influence architectural decisions and mentor junior engineers.

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How does the Senior Staff Software Engineer role impact customer success at Databricks?

At Databricks, the Senior Staff Software Engineer plays a key role in driving customer success by enabling seamless integrations of cutting-edge applications. By developing frameworks and tools, you'll help customers enhance their AI and data capabilities, maintaining a competitive edge in their industries. Your contributions will ensure that customers can fully leverage the Databricks platform to innovate efficiently.

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What skills are essential for the Senior Staff Software Engineer at Databricks?

Essential skills for the Senior Staff Software Engineer at Databricks include deep knowledge of the data and AI landscape, strong technical abilities in API design and big data processing technologies, and effective leadership qualities. Additionally, having excellent communication skills to advocate for the ecosystem vision and engage with developers and partners is vital for success in this role.

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What is the salary range for a Senior Staff Software Engineer at Databricks?

The salary range for a Senior Staff Software Engineer at Databricks is between $220,400 and $297,400 USD, depending on various factors like experience and skills. The total compensation package may also include bonuses, equity, and comprehensive benefits, ensuring fair and equitable salary practices.

Join Rise to see the full answer
Common Interview Questions for Senior Staff Software Engineer - App and Partner Ecosystem
What inspired you to pursue a career as a Senior Staff Software Engineer?

When answering this question, focus on your passion for technology and desire to solve complex problems using data and AI. Relate your experiences that led you to Databricks, emphasizing your commitment to innovation and teamwork.

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How do you approach defining a new strategic vision for a software ecosystem?

In your response, describe your process for conducting market research, analyzing user needs, and collaborating with cross-functional teams to create a roadmap. Highlight your ability to translate business goals into technical solutions that drive progress.

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Can you describe a successful project where you led a team in building integrations?

Share a specific example of a project that required you to develop frameworks or tools for integrations. Emphasize your leadership role in mentoring team members and aligning efforts with business objectives, showcasing the positive impact of the project.

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What are your strategies for mentoring junior engineers?

Discuss the techniques you use to guide junior engineers, such as regular feedback sessions, fostering a culture of open communication, and encouraging participation in code reviews. Highlight how you prioritize their professional development.

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How do you ensure that your APIs are high-performing and secure?

Explain your approach to API design, including practices like thorough testing, performance monitoring, and implementing security measures. Mention the importance of adhering to compliance frameworks and user requirements.

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What experience do you have with cloud infrastructure and deployment strategies?

Describe your experience with major cloud platforms and your understanding of best practices for deploying applications. Highlight your familiarity with CI/CD pipelines and any relevant tools like Kubernetes or Terraform.

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How do you stay updated with the latest developments in the data and AI industry?

Share your methods for keeping informed about industry trends, such as attending conferences, participating in online communities, or contributing to open-source projects. Demonstrate your commitment to continuous learning.

Join Rise to see the full answer
What routing do you follow when troubleshooting system performance issues?

Detail your systematic approach to identifying and addressing performance bottlenecks, including data analysis, logging, and collaboration with engineering teams to implement lasting solutions.

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How would you advocate for best practices in application development at Databricks?

Discuss your strategies for promoting best practices within the team, such as hosting knowledge-sharing sessions, creating documentation, and integrating best practices into daily workflows to enhance code quality and development processes.

Join Rise to see the full answer
What is your long-term vision for your career in software engineering?

In your response, share your aspirations, whether it's advancing into leadership roles, contributing to groundbreaking projects, or influencing the evolution of technology at companies like Databricks. Make sure it aligns with their mission and values.

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Databricks, the data and AI company, helps data teams solve the world’s toughest problems.

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DATE POSTED
March 21, 2025

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