Senior Forward Deployed Engineer
Databricks3 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 model 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 and AI applications for strategic enterprise customers.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Guide customers on architecture, implementation, evaluation, adoption, and successful use of Databricks.
- Coordinate with engagement managers, project managers, architects, Databricks engineering, and customer support to deliver technical components and resolve issues.
- Contribute reusable accelerators, frameworks, documentation, and best practices that scale across accounts and inform the Databricks product roadmap.
- Manage technical scope, timelines, and measurable project outcomes while traveling to customers approximately 20% of the time.
Requirements
- Strong experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write production code in Python, Scala, JavaScript, or TypeScript and work with 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, including knowledge of Spark runtime internals.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Curiosity, adaptability, and eagerness to learn technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification is preferred but not essential.
Benefits
- Hybrid work arrangement in London, United Kingdom.
- Comprehensive regional benefits and perks; specific details vary by region.
- Approximately 20% travel to customers.
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.