About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform.
Responsibilities
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype)
- Orchestrate cross-functional resources to deliver comprehensive solutions
- Influence product direction by providing structured feedback
Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform with a developing technical specialization
- Proven ability to lead architecture discussions with senior technical stakeholders
- Experience with production deployments on public cloud (AWS, Azure, or GCP)
- Track record of driving platform adoption and consumption growth
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline
Conditions
- Local Pay Range: $180,000 - $247,500 USD
- Total compensation may include annual performance bonus, equity, and benefits
- Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check