Sr. Solutions Architect
Databricks2 months ago
Base Salary
$219k - $301k/yr
Responsibilities
- Develop customer engagement strategies with Account Executives in an assigned territory.
- Coach junior Solutions Architects and teams on use-case prioritization and building technical champions.
- Architect, design, and drive adoption of the Databricks Data Intelligence Platform for significant data analytics initiatives.
- Influence stakeholders and C-level executives through complex engagements involving cloud ecosystems and third-party applications.
- Lead complex proofs of concept and provide technical solutions for specialized customer needs.
- Develop customer-facing collateral and lead workshops, seminars, and meet-ups.
- Contribute as a trusted technical advisor and champion for customers and colleagues.
Requirements
- 10+ years of customer-facing technical experience.
- Experience with complex customer interactions and technical pre-sales across the sales lifecycle.
- Ability to influence decision-makers and C-level executives while orchestrating teams toward 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 provide technical solutions for specialized customer needs and navigate a competitive landscape.
- Ability to travel up to 30% when needed.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
- The role offers development tracks in technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
- Travel may be required up to 30%.
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.