Tech Stack
Responsibilities
- Build and maintain trusted-advisor relationships with C-level executives in large US-based and global accounts, especially in highly regulated industries.
- Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization.
- Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists.
- Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries.
- Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap.
Benefits
- Equity
Culture
DiversityInclusion
Requirements
Regions: Us
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About Databricks
Industry: saas
Size: large
Databricks is a data and AI company that builds and operates the world’s best data and AI infrastructure platform, enabling data teams to turn deep data insights into business impact.
View company profile →Compensation
Base salary: $249,800 USD
Equity: equity
Bonus: eligibility for annual performance bonus