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Senior Solutions Engineer, Product Partnerships

United States

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

The Product Partnerships team at Databricks is shaping a modern data and AI Stack platform ecosystem. We're seeking a dynamic individual to join our team to work with our technology partners. You will help partners develop new integrations and improve our product portfolio by collaborating with product & engineering. This role will report to the Sr. Director of Technology Partners.

You will create customer opportunities by using the ISV Partner Ecosystem, you will guide ISV partners to develop new integrations and improve product portfolio by working with and providing feedback to engineering. The ideal candidate will have data and some technical background along with a track record of building and growing partnerships.

The impact you will have:

  • Help Partners just getting started unlock value for our customers and reduce friction when developing their integrations with the Databricks Platform
  • Provide comprehensive support to partners during development, testing, delivery, and updates of integrations
  • Equip Databricks' Field solutions engineers & account executives with the necessary tools to create solutions for potential clients
  • Facilitate easy access to information about the status and features of partnership offerings
  • Provide actionable partner feedback to Product & Engineering teams
  • Ensure written content like blogs and press releases are technically sound
  • Represent Databricks at industry events and promote its values

What we look for:

  • 3 + years in partner or customer-facing pre-sales, technical architecture or consulting role
  • Understand data warehousing, lakehouse concepts, and the Databricks Intelligence Platform
  • Knowledge of enterprise architecture with a focus on data products
  • Literacy in languages like Python, Scala, or Java
  • Display proficiency in SQL
  • Demonstrate familiarity with major cloud platforms such as AWS, Azure, or GCP
  • Be well-versed in streaming technologies including Spark, Hadoop, and Kafka



  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance

COVID-19 Vaccination Requirement

As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.

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.

Local Pay Range
$82,800$146,500 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.

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.


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.

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