Sr. Solutions Architect

Databricks Databricks · Data AI · Sydney, Australia · Field Engineering - Other

This role is for a Sr. Solutions Architect at Databricks, focusing on customer engagement, technical pre-sales, and demonstrating the Databricks Data Intelligence Platform. Responsibilities include developing customer engagement strategies, coaching junior architects, influencing stakeholders, acting as a trusted advisor for data analytics architecture, and contributing to the technical community through collateral and workshops. The role requires experience in technical pre-sales, influencing decision-makers, coding in a core programming language, and hands-on expertise with proofs-of-concept and public cloud platforms.

What you'd actually do

  1. Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
  2. Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
  3. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
  4. Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
  5. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

Skills

Required

  • customer engagement strategies
  • technical pre-sales
  • influencing decision-makers
  • coding in a core programming language (Python, Java, Scala)
  • Spark
  • public cloud platform(s)
  • technical solutions for specialized customer needs

Nice to have

  • coaching junior Solutions Architects
  • data analytics architecture
  • design
  • adoption of the Databricks Data Intelligence Platform
  • customer-facing collateral
  • workshops
  • seminars
  • meet-ups
  • complex proofs-of-concept
  • competitive landscape navigation

What the JD emphasized

  • technical pre-sales capacity
  • coding in a core programming language
  • public cloud platform(s)
  • technical solutions for specialized customer needs