ISV Solutions Architect, Product Partnerships

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

The Product Partnerships team is focused on building a vibrant, modern data and AI Stack platform ecosystem. With over a 100 ISV partners in our ecosystem already, we're just getting started. As part of the team you will build deep relationships with the best companies in the data and AI space. 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. This role will report to the Sr. Director of Technology Partners.

The impact you will have:

  • Become a technical expert on the full Databricks platform
  • Participate in the technical qualification of an integration and identify value of a partnership to customers, Databricks and partners
  • Provide technical leadership in the delivery of an ISV integration – this includes activities such as best practices for integration, removing technical roadblocks, educating partners on Databricks products and rolling up feedback to PM on integration needs of partners
  • Project manage technical aspects of the life cycle of an ISV integration from design to ongoing evolution
  • Build references architectures, presentations, and demos for field organization and technical marketing purposes
  • Validate integrations, along with infrastructure for automating tests and demo environments
  • Participate as an overlay pre-sales role in sales cycles involving partner products
  • Participate as a subject matter expert in ongoing success of customers who have adopted integrations
  • Help measure results of partnerships
  • Participate in continued evolution of the partnership ecosystem
  • Travel to partner and Databricks conferences

What we look for:

  • Enterprise software architecture in the context of data products (data engineering, AI/ML or BI)
  • Prior experience in partner solutions architecture or business development teams
  • 3 or more years in partner or customer-facing pre-sales, technical architecture or consulting role
  • Architect distributed data systems
  • Comfortable writing code in either Python, Scala or Java
  • Basic SQL experience
  • Experience with Big Data Technologies such as Spark, Hadoop, Kafka, and Storm
  • Experience working on clouds (AWS, Azure or GCP)
  • Comfortable with traveling to domestic and international locations


  • 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
  • Employee Assistance Program (EAP)

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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.

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