North AmericaFull TimeEngineering
Remotely
pythonsqlawssparkkafkadelta lakeflinkhadoop
Job Description
📋 Description
- Lead technical engagements for customers, owning discovery, design, and platform demos.
- Build customized solutions using the Databricks Platform to solve data challenges.
- Own frontline customer relationships and work with Account Executives on technical strategies.
🎯 Requirements
- 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
- Proficient in Python and SQL; able to debug, optimize, and write production-quality code; live
- Hands-on design/implementation of data solutions on at least one public cloud (AWS, Azure, or GCP).
- Working knowledge of distributed data systems: Spark, Delta Lake, Hadoop, Kafka, Flink.
- Experience leading technical customer conversations: discovery, whiteboarding, architecture reviews.
- Familiarity with data engineering (ETL/ELT, medallion architecture, streaming) or data science/ML
🎁 Benefits
- Pay transparency with Zone pay ranges listed in USD; ranges reflect non-commissionable base pay and
- Comprehensive benefits; details by region.
- Culture of inclusion and ongoing learning opportunities.
