Sr. Forward Deployed Engineer

Навыки

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.
• 03Collaborate cross-functionally with engineering, product, and developer relations to shape long-term strategic priorities.
• 04Deliver solutions with customer empathy, integrating with client systems, providing training, and addressing technical needs to maximize customer value.
• 05Lead impactful customer technical projects by delivering production-grade systems, designing reference architectures, building custom applications, and integrating data ingestion and ML/AI models.
• 06Guide strategic customers in implementing transformational big data projects, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
• 07Work with engagement managers to scope technical delivery work based on customer input.
• 08Guide customers on architecture and design; bootstrap or implement customer projects to foster successful understanding, evaluation, and adoption of Databricks.
• 09Lead architecture and design decisions ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
• 10Coordinate with Databricks technical team, project managers, architects, and customer teams to deliver technical components meeting customer needs.
• 11Partner with Engineering and Databricks Customer Support to provide product and implementation feedback and resolve engagement-specific issues.
• 12Embed with customer teams, engaging stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• 13Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Требования

• 016+ years experience in data engineering, data platforms & analytics, or software engineering.
• 02Comfortable writing code in 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 using 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.
• 07Ability to design and deploy performant production end-to-end data architectures combining data pipelines, ML/AI models, and user‑facing interfaces.
• 08Experience with technical project delivery, managing scope, timelines, and measurable outcomes, translating complex concepts into actionable solutions.
• 09Documentation and white‑boarding skills.
• 10Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• 11Ability to build technical skills, demonstrate curiosity, adaptability, and eagerness to explore new technologies that support Databricks‑based solution deployment and integration.

Условия

• 01Travel to customers approximately 20% of the time.
• 02Databricks Certification.
• 03Pay range: $182,000 – $250,208 USD (Zones 1‑4).
• 04Eligibility for annual performance bonus, equity, and comprehensive benefits.