Sr. Solutions Architect

Databricks
Melbourne
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer-centricity","Influence","Stakeholder management","Coaching","Technical advisory"]

Drive customer-facing solutions for complex data analytics engagements, partnering with Account Executive(s) in your territory to develop technical pre-sales strategies. Serve as a trusted advisor and expert solution architect for the Databricks Data Intelligence Platform, leading proofs-of-concept and shaping architecture design and adoption. Influence stakeholders and C-level decision-makers, coach junior Solutions Architects, and contribute to technical community engagement through workshops and customer-facing collateral.

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FursaFursa
Databricks
Databricks
2 months ago

Sr. Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Drive customer-facing solutions for complex data analytics engagements, partnering with Account Executive(s) in your territory to develop technical pre-sales strategies. Serve as a trusted advisor and expert solution architect for the Databricks Data Intelligence Platform, leading proofs-of-concept and shaping architecture design and adoption. Influence stakeholders and C-level decision-makers, coach junior Solutions Architects, and contribute to technical community engagement through workshops and customer-facing collateral.
Location: Melbourne
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
  • •Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
  • •Influence stakeholders at all levels through complex engagements across the cloud ecosystem and 3rd-party applications.
  • •Operate as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
  • •Develop customer-facing collateral and lead workshops, seminars, and meet-ups as part of technical community engagement.

Key Requirements

  • •Experience in complex customer interactions and the sales lifecycle in a technical pre-sales capacity.
  • •Ability to influence decision-makers and C-level executives through relationship building and orchestrating teams for long-term customer success.
  • •Prior coding experience in a core programming language such as Python, Java, or Scala, plus willingness to learn Spark basics.
  • •Hands-on experience delivering complex proofs-of-concept and working with public cloud platforms.
  • •Ability to provide technical solutions for specialized customer needs in a competitive landscape.
Experience:Data analyticsPre-salesCloudProof of concept
Skills:Customer-centricityInfluenceStakeholder managementCoachingTechnical advisory
Languages:English
Tech Stack:PythonJavaScalaSparkDelta LakeMLflowApache Spark

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn