Databricks3 дня назад
Sr. Forward Deployed Engineer
Зарплата не указана
Stockholm
Обязанности
- 01Work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform
- 02Own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development
- 03Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
- 04Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications
- 05Guide customers on architecture and design
- 06Bootstrap or implement customer projects which leads to customers' successful understanding, evaluation and adoption of Databricks
- 07Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
- 08Work with Databricks technical team, Project Manager, Architect and Customer team to ensure technical components are delivered
- 09Work with Engineering and Databricks Customer Support to provide product and implementation feedback
- 10Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
- 11Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence product roadmap
Требования
- 016+ years experience in data engineering, data platforms & analytics, or software engineering
- 02Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- 03Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- 04Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
- 05Familiarity with CI/CD for production deployments
- 06Working knowledge of MLOps, ML/AI models and AI APIs
- 07Design and deployment of performant production end-to-end data architectures and applications
- 08Experience with technical project delivery - managing scope, timelines and measurable outcomes
- 09Documentation and white-boarding skills
- 10Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- 11Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies
- 12Travel to customers 20% of the time
- 13Databricks Certification
Условия
- 01Travel to customers 20% of the time
- 02Comprehensive benefits and perks
- 03Inclusive hiring practices and equal employment opportunity standards