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 discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering 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
- Develop and declare an emerging technical specialization
- Orchestrate cross-functional resources to deliver comprehensive solutions
- Influence product direction by providing structured feedback
Requirements
- 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role
- Deep hands-on experience with Apache Spark ecosystem (Spark Core, Spark SQL, Spark Streaming), message queues (e.g., Kafka), batch ingestion, performance tuning
- Experience building or supporting data-driven use cases, predictive analytics pipelines
- Experience migrating EDW workloads (legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems
- Strong coding proficiency in Python and SQL
- Deep expertise in distributed data systems architecture
- Experience with production deployments on public cloud (AWS, Azure, or GCP)
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline
- Willingness to travel up to 30%
Conditions
- Pay Range: $180,000 - $247,500 USD
- Total compensation may include annual performance bonus, equity, and benefits