Senior Data Solutions Architect — Cloud & Analytics Leader

Menlo Ventures

New York (NY)

Vor Ort

USD 219.000 - 301.000

Vollzeit

14 Tage+

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Zusammenfassung

Databricks is hiring a Senior Solutions Architect to drive customer engagement strategies, coach architects, and influence stakeholders across cloud ecosystems. You will champion data analytics architecture and serve as a trusted advisor for the Databricks Data Intelligence Platform.

Candidates should have extensive customer-facing technical experience, proficiency in Python/Java/Scala, and hands-on PoC with cloud platforms.

Qualifikationen

  • 10+ years of customer-facing technical experience.
  • Experience with technical pre-sales lifecycle.
  • Ability to influence decision-makers and executives.
  • Proficiency in Python/Java/Scala; willingness to learn Spark.
  • Hands-on with proofs-of-concept and public cloud platforms.

Aufgaben

  • Develop customer engagement strategies in partnership with Account Executives 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 with the wider cloud ecosystem and 3rd party applications.
  • Be a 'champion’ for both customers and colleagues, as an expert solution architect and trusted advisor for data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
  • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
  • Opportunity to continue development in tracks: technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

Kenntnisse

Customer-facing tech exp
Sales pre-sales
Executive stakeholder influence
Python/Java/Scala
Spark basics
Cloud platforms
Travel up to 30%

Tools

Public cloud platforms

Jobbeschreibung

Databricks is hiring a Senior Solutions Architect to drive customer engagement strategies, coach architects, and influence stakeholders across cloud ecosystems. You will champion data analytics architecture and serve as a trusted advisor for the Databricks Data Intelligence Platform.

Candidates should have extensive customer-facing technical experience, proficiency in Python/Java/Scala, and hands-on PoC with cloud platforms.

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