San FranciscoFull TimeEngineering
Remotely
Listed on 2 job boards, which is a stronger signal than one board alone.
pythonmachine learningsqlclouddatabricksreal timelakehousedistributed data systems
Also available on
Job Description
📋 Description
- Lead the technical strategy for accounts from discovery to production deployment
- Design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics
- Serve as trusted advisor to customer architects and engineering leads
- Drive technical wins with custom-built solutions and cross-functional resource orchestration
- Develop an emerging technical specialization and become a go-to resource for the team
🎯 Requirements
- 6+ years in solutions architecture, data engineering, pre-sales, or senior technical roles
- Strong Python and SQL coding skills with live coding and debugging ability
- Deep expertise in distributed data systems, pipelines, streaming, lakehouse patterns, cloud-native
- Proficiency with the Databricks Platform and ability to develop a specialization (e.g.
- Experience leading architecture discussions with senior technical stakeholders (whiteboarding
- Experience with production deployments on AWS, Azure, or GCP including infra, security, governance
🎁 Benefits
- Pay Range: $180,000 – $247,500 USD
- Salary transparency available; pay may vary by location and factors
- Performance bonus, equity, and region-specific benefits
Back to all jobs
