Overview
In this role you will own the end-to-end technical strategy for customer accounts, guiding architecture discussions and platform adoption. You’ll serve as a trusted advisor to customer leads while showcasing Databricks as the core of their data and AI strategy. You will shape a growing technical archetype and coordinate cross-functional teams to deliver complex, scalable solutions. Your work directly influences how customers achieve production deployment and value realization at scale.
Responsibilities
- Own end-to-end technical strategy from discovery to production deployment and growth
- Lead architecture discussions for scalable, production-grade data, ML/AI, and real-time analytics solutions
- Act as a trusted technical advisor to customer architects and engineering leaders
- Drive technical wins by demonstrating Databricks differentiation through custom solutions
- Develop and evangelize an emerging technical specialization (archetype)
- Coordinate cross-functional resources to deliver comprehensive customer solutions
- Provide structured feedback to influence product direction based on customer needs
Key requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or equivalent senior role
- Strong coding proficiency in Python and SQL with live coding and debugging experience
- Deep expertise in distributed data systems architecture (pipelines, streaming, lakehouse, cloud-native platforms)
- Proficient with Databricks Platform and able to develop rapid proficiency in a domain specialty
- Proven ability to lead architecture discussions with senior stakeholders (whiteboarding, design reviews, trade-offs)
- Experience deploying to public clouds (AWS, Azure, or GCP) including security and governance
- Track record of driving platform adoption and growth within accounts
- Excellent communication skills for both technical and executive audiences
- clear communication
- stakeholder management
- cross-functional collaboration
- Python
- SQL
- distributed data systems
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