Sr. Forward Deployed Engineer - Architect - Full Stack

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
• 03Work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations
• 04Deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data
• 05Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• 06Guide 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
• 07Work with engagement managers to scope technical delivery work with input from the customer
• 08Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• 09Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
• 10Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• 11Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
• 12Embed with customer teams, engaging with 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

• 01Extensive 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 that combine 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
• 11Build 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
• 12Travel to customers 20% of the time
• 13Databricks Certification

Условия

• 01Travel to customers 20% of the time
• 02Databricks Certification
• 03Comprehensive benefits and perks