Related skills
azure aws sql python gcp📋 Description
- Embedded technical lead for Databricks customer engagements
- Own Databricks platform architecture and standards
- Lead data pipelines and analytics on Databricks
- Deep expertise in Spark runtime and optimization
- Guide customers on Databricks best practices for ingestion, transformation, analytics
- Mentor delivery teams and ensure governance and quality
🎯 Requirements
- 10+ years in consulting or client-facing roles
- 7+ years in data engineering or related technical roles
- Databricks Data Engineering Professional certification
- 6+ Databricks projects with hands-on leadership
- Deep expertise in Spark runtime internals and optimization
- Strong experience designing large-scale distributed data platforms
- Advanced SQL and Python; Scala strongly preferred
- Deep knowledge of AWS, Azure, or GCP
🎁 Benefits
- Flexible PTO and federal holidays off
- Health, dental and vision insurance plans
- Flexible Spending Account (FSA)
- 401k with employer match
- Professional development (training, certifications)
- Paid cloud developer accounts
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