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About the Role
Lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor. Combine deep technical expertise with strategic thinking to position Databricks as the foundation of customers’ data and AI strategy. Develop a technical specialization and become a recognized expert in a specific domain.
Responsibilities
- Own the end-to-end technical strategy for accounts, from 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, becoming a go-to resource for the team in that domain.
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs.
- Influence product direction by providing structured feedback on customer requirements and competitive gaps.
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, with live coding, debugging, and solution-building skills.
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations).
- Proven ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations.
- Track record of driving platform adoption and consumption growth within accounts.
- Excellent communication skills, able to translate complex architectures into business value for both technical and executive audiences.
Skills
- Python
- SQL
- Distributed data systems architecture
- Scalable pipelines
- Streaming architectures
- Lakehouse patterns
- Cloud-native data platforms
- Databricks Platform
- AWS
- Azure
- GCP
- Architecture discussions
- Communication
Experience Level
- 6+ years
Education Level
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Salary/Compensations
- $180,000—$247,500 USD
Benefits
- Comprehensive benefits and perks
- Eligibility for annual performance bonus
- Equity
About the Company
- Databricks is the Data and AI company.
- More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
- Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Equal Opportunity
- Databricks is committed to fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards.
- Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.