Sr. Solutions Engineer
Databricks Mosaic · Chicago, Illinois · Remote - California · Remote - New York · United States · San Francisco, California
Infrastructureremotesenior
At a glance
Highlights
- Lead technical discovery and solution design for customer data and AI workloads.
- Build and deliver compelling proofs-of-concept and live demos that win customers.
- Partner with Account Executives to grow platform consumption across accounts.
Ideal candidate
A builder who loves coding, architecting and presenting to customers. You thrive owning discovery to demo and enjoy partnering with sales to drive adoption through hands-on solutions.
Requirements
- 4+ years in data engineering, solutions architecture, technical pre-sales or hands-on consulting
- Proficient in Python and SQL with ability to write production-quality code
- Hands-on experience designing data solutions on AWS, Azure or GCP
- Working knowledge of distributed data systems such as Apache Spark and Delta Lake
- Experience leading technical customer conversations including discovery and architecture reviews
- Familiarity with data engineering, data science/ML or SQL analytics
- Strong presentation and demo skills
- Bachelor's or Master's in Computer Science, Engineering or quantitative field or equivalent experience
- hiring process
- Interview includes a required live coding stage and building and presenting a live solution demo.
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration
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