Sr. Forward Deployed Engineer (FDE) - Retail
$182,000–$250,208 year
On-siteAustin, Texas, United States
Austin, Texas, United StatesOn-siteFull Time$182,000–$250,208 yearSenior LevelData ServicesLarge
Full TimeSenior LevelLargeData Services
Job Summary
Lead architecture and design decisions for customer data and AI projects, delivering production-grade systems spanning data engineering, ML/AI model integration, and application development. Embed with client teams to guide strategic implementations, bootstrap customer initiatives, and ensure solutions are secure and scalable while providing rapid product and support feedback. Contribute reusable frameworks and best practices to scale impact across accounts and influence the product roadmap. Travel 20% of the time to engage stakeholders from technical ICs to executives.
Required Qualifications
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Travel to customers 20% of the time
- Databricks Certification
Desired Qualifications
- Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects
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