Senior Forward Deployed Engineer (Full Stack Engineers)
Databricks20 days ago
London, United KingdomSenior
Responsibilities
- Lead customer technical projects by designing and delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI integrations.
- Own architecture and design decisions for secure, scalable solutions aligned with customer needs and Databricks best practices.
- Design, build, and deploy end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Guide customers through architecture, implementation, evaluation, adoption, training, and transformational data and AI initiatives.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Manage technical delivery scope, timelines, specifications, and measurable outcomes in collaboration with engagement managers and customer teams.
- Collaborate with Databricks engineering, product, developer relations, project management, architecture, and customer support teams.
- Provide product and implementation feedback, help resolve engagement-specific issues, and contribute reusable accelerators, frameworks, and best practices.
Requirements
- Experience in data engineering, data platforms and analytics, software engineering, or full-stack development.
- Ability to write code in Python, Scala, JavaScript, or TypeScript using modern frameworks.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant production end-to-end data architectures and applications.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills, enterprise client experience, and ability to manage conflicts across broad stakeholder groups.
- Curiosity, adaptability, customer empathy, and eagerness to learn technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification is an advantage.
Benefits
- Hybrid work arrangement in London, United Kingdom.
- Approximately 20% travel to customers.
- Comprehensive regional benefits and perks; specific details vary by region.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.