Senior Forward Deployed Engineer (Technical Data Architect)
Databricks22 hours ago
London, United KingdomSenior
Responsibilities
- Lead the delivery of production-grade customer systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Design, build, and deploy end-to-end data and AI applications for strategic customers.
- Own architecture and design decisions to deliver secure, scalable solutions aligned with customer needs and Databricks best practices.
- Guide customers through architecture, implementation, evaluation, adoption, and effective use of Databricks.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Coordinate with engagement managers, project managers, architects, engineering, product, customer support, and customer teams to deliver technical engagements.
- Manage technical scope, timelines, and measurable project outcomes.
- Contribute reusable accelerators, frameworks, best practices, and product feedback that scale across customer accounts.
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 and work with modern frameworks.
- Working knowledge of at least two of AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Experience designing and deploying performant production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience with technical project delivery, enterprise clients, stakeholder management, documentation, and whiteboarding.
- Ability to travel to customers approximately 20% of the time.
- Databricks Certification is an advantage.
Benefits
- The position is based in London, United Kingdom, with a hybrid work arrangement.
- Databricks offers comprehensive regional benefits and perks; specific details vary by region.
- The role includes 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.