Databricks

Sr. Solutions Architect

Databricks
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2 months ago

Base Salary

$219k - $301k/yr

Responsibilities

  • Develop customer engagement strategies in partnership with Account Executives.
  • Coach junior Solutions Architects and teams on use-case prioritization and building technical champions.
  • Influence stakeholders through complex engagements involving the cloud ecosystem and third-party applications.
  • Serve as an expert solution architect and trusted advisor for data analytics architecture, design, and Databricks platform adoption.
  • Develop customer-facing collateral and lead workshops, seminars, and meet-ups.
  • Lead complex proofs of concept and provide technical solutions for specialized customer needs.
  • Travel up to 30% when needed.

Requirements

  • 10+ years of customer-facing technical experience.
  • Experience engaging in complex customer interactions and technical pre-sales sales lifecycles.
  • Ability to influence decision-makers and C-level executives, develop relationships, and orchestrate teams for long-term customer success.
  • Prior coding experience in a core programming language such as Python, Java, or Scala, plus willingness to learn a base level of Spark.
  • Hands-on expertise with complex proofs of concept and public cloud platforms.
  • Ability to navigate a competitive landscape and deliver specialized technical solutions.

Benefits

  • Comprehensive employee benefits and perks, with region-specific details provided by Databricks.
  • Potential eligibility for an annual performance bonus and equity.
  • Up to 30% travel may be required; candidates outside the listed locations may also be considered.

Tech Stack

Apache SparkDatabricksJavaPythonScala

Categories

Solutions Engineering
Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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