Databricks

Senior Staff Software Engineer - App and Partner Ecosystem

Databricks • $217K — $298K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in building data-intensive applications
  • Strong expertise in SQL, NoSQL, OLAP/OLTP databases
  • Experience with big data processing technologies like Apache Spark and Flink
  • In-depth knowledge of API design (REST, GraphQL, gRPC) and application integrations
  • Understanding of data governance frameworks (e.g., GDPR, HIPAA)
  • Experience with cloud infrastructure (AWS, Azure, GCP) and CI/CD pipelines
  • Excellent communication skills for promoting ecosystem vision

Responsibilities

  • Define and drive the ecosystem strategy for Databricks
  • Develop frameworks and APIs for seamless integration within the Databricks ecosystem
  • Enable customer integration of advanced applications and functionalities
  • Lead and mentor engineering teams across various functions
  • Collaborate with product and business teams on technical roadmaps
  • Engage with open-source communities for best practices
  • Represent Databricks at industry events and strengthen partnerships

Benefits

  • Comprehensive health and wellness programs
  • Flexible working arrangements
  • Professional development opportunities and mentorship
  • Engagement with open-source projects
  • Participation in industry events
Full Job Description
RDQ126R35

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 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. For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range

$217,100-$298,550 USD

BenefitsAt 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 click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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