Remotely
pythonsqlawsazuregcpdatabrickslakehousestreaming
Job Description
📋 Description
- Own end-to-end technical strategy for accounts from discovery to production deployment
- Lead architecture discussions across data engineering, ML/AI, and real-time analytics
- Act as trusted advisor to customer architects, engineering leads, and Directors
- Dr ive technical wins by demonstrating Databricks differentiation through custom solutions
- Develop an emerging technical specialization and be a go-to resource for the team
- Coordinate cross-functional resources (DSAs, SSAs, Partners) to deliver complex solutions
🎯 Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or senior hands-on role
- Strong coding in Python and SQL with live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture, scalable pipelines, streaming, lakehouse
- Proficient with Databricks Platform and developing specialization area (e.g., real-time/streaming
- Experience leading architecture discussions with senior stakeholders and performing whiteboarding
- Experience with production deployments on AWS, Azure, or GCP including infra, security, governance
🎁 Benefits
- Pay ranges are listed and may vary by location; include potential bonus, equity, and benefits per
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