Works hands-on with customers to build and productionize data and AI solutions on the Databricks platform, owning architecture and design decisions end-to-end.
Responsibilities
- ▹Lead customer technical projects delivering production-grade systems: reference architectures, custom applications, data ingestion and ML/AI integration
- ▹Guide strategic customers through end-to-end design, build and deployment of big data projects
- ▹Support customers on architecture and design, bootstrapping or implementing projects that drive successful Databricks adoption
- ▹Own architecture and design decisions, ensuring solutions are secure, scalable and aligned with customer needs
- ▹Coordinate with the Databricks technical team, project manager, architect and customer team to ensure technical delivery meets customer needs
- ▹Work with Engineering and Customer Support to provide product and implementation feedback and drive rapid issue resolution
- ▹Embed with customer teams, engaging stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
- ▹Contribute reusable accelerators, frameworks and best practices that scale impact across accounts
Requirements
- ▹Extensive experience in data engineering, data platforms and analytics, or software engineering
- ▹Comfortable writing code in Python, Scala or JavaScript/TypeScript with modern frameworks
- ▹Working knowledge of two or more common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one
Soft skills
Customer-centric, hands-on mindsetAdaptability and curiosityStrong communication with customers and teammates
About the company
Databricks builds a big data and AI platform, supporting customers across the full lifecycle of their data and AI projects.
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