
Solutions Architect - Communications, Media, Entertainment & Gaming
Databricks3 months ago
Base Salary
$140k - $247k/yr
Responsibilities
- Develop customer engagement strategies in partnership with Account Executives.
- Coach junior Solutions Architects and teams on use-case prioritization and technical champion development.
- Influence stakeholders and executives through complex engagements involving the cloud ecosystem and third-party applications.
- Advise customers on data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
- Develop customer-facing collateral and lead workshops, seminars, and meet-ups.
- Provide technical solutions for specialized customer needs and support the sales lifecycle.
Requirements
- 7+ years of presales or customer-facing technical experience.
- Experience engaging in complex customer interactions and technical presales sales lifecycles.
- Ability to influence decision-makers and C-level executives and orchestrate teams toward long-term customer success.
- Prior coding experience in Python, Java, or Scala and 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 provide technical solutions for specialized customer needs.
- Willingness to travel up to 30% when needed.
Benefits
- Remote candidates in other U.S. cities may be considered.
- Opportunity to develop along technical specialization, industry vertical thought leadership, strategic customer vision, or people management tracks.
- Comprehensive benefits and perks are offered, with regional details provided by Databricks.
Tech Stack
Categories
Solutions Engineering
About Databricks
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.