Senior Forward Deployed Engineer (Technical Data Architect)
Databricks5 hours ago
London, United KingdomSenior
Responsibilities
- Lead customer technical projects by designing and delivering production-grade systems, reference architectures, custom applications, data ingestion solutions, and ML/AI model integrations.
- Guide end-to-end design, build, and deployment of data and AI applications for strategic customers.
- Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Scope technical delivery work, manage project outcomes, and collaborate with engagement managers, project managers, architects, engineering, product, support, and customer teams.
- Provide product and implementation feedback and help resolve engagement-specific product and support issues.
- Create reusable accelerators, frameworks, and best practices that scale across customer accounts and influence the Databricks product roadmap.
Requirements
- Experience in data engineering, data platforms and analytics, software engineering, or full-stack development.
- Ability to code in Python, Scala, JavaScript, or TypeScript and work with modern frameworks.
- Working knowledge of at least two cloud ecosystems, with expertise in one or more of AWS, Azure, and GCP.
- Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Familiarity with CI/CD for production deployments.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Strong documentation and whiteboarding skills, with curiosity and adaptability toward new technologies supporting Databricks-based solutions.
- Databricks Certification is an advantage.
Benefits
- Hybrid work arrangement in London, United Kingdom.
- Approximately 20% travel to customers.
- Databricks offers 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.