Databricks · databricks.com · checked today
Senior Forward Deployed Engineer (Technical Data Architect)
Skills, with evidence
- Python
Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
must have - Spark
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
must have - Scala
Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
must have · not practised here - AWS
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
must have · not practised here - Azure
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
must have · not practised here - GCP
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
must have · not practised here - Governance & security
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.
not practised here - Warehousing
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.
- Machine learning
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
not practised here
Your plan
- Python
drills at the Staff level
- Modelling
drills at the Staff level
- Spark
drills at the Staff level
The full plan, drill by drill, is on the job page.
leaves tomorrowremoved the moment Databricks closes it