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.
Responsibilities
- Own the end-to-end technical strategy for 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 (DSAs, SSAs, Partners) to deliver comprehensive solutions
- 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 — live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, cloud-native data platforms
- Proficient on the Databricks Platform with a developing technical specialization (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline
Nice to Have
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse)
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
Conditions
- Remote - New York
- Pay Range: $180,000 — $247,500 USD
- Total compensation package may include annual performance bonus, equity, and benefits