# Senior Forward Deployed Engineering - Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** London, United Kingdom
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Python, Scala, JavaScript, TypeScript, AWS, Azure, GCP, Spark, CI/CD, MLOps, Machine Learning, Ai Apis, Data Pipelines, Data Architecture, Databricks Certification
**Posted:** 2026-08-11

> Leads customer-facing architecture and hands-on delivery of production data and AI solutions on the Databricks platform. The role requires extensive data or software engineering experience, cloud expertise, Apache Spark proficiency, and strong technical project delivery skills.

## Job Description

## Responsibilities
- Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Guide strategic customers through the end-to-end design, build, and deployment of big data and AI applications.
- Scope technical delivery work with engagement managers and customer input.
- Advise customers on architecture and design, and bootstrap or implement projects to support successful Databricks adoption.
- Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver technical engagement components.
- Work with Engineering and Customer Support to provide product feedback and resolve implementation issues.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Contribute reusable accelerators, frameworks, and best practices that scale impact across accounts and influence the product roadmap.
- Travel to customers approximately 20% of the time.

## Requirements
- Extensive experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript, or TypeScript, using modern frameworks.
- Working knowledge of at least two major cloud ecosystems, with expertise in one: AWS, Azure, or Google Cloud.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant, production-grade 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, measuring outcomes, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across diverse stakeholder groups.
- Curiosity, adaptability, and eagerness to explore technologies that support Databricks-based solution deployment and integration.

## Nice to have
- Databricks Certification.

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