Senior Data & AI Forward-Deployed Architect

databricks

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

10 days ago
Application generator

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Job summary

Databricks is seeking a Senior Forward Deployed Engineer - Architect to lead production-grade data & AI solutions for clients in a Hybrid London setting. You will own the architecture, drive design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development.

This hands-on, customer-facing role requires technical leadership, strong collaboration with engineering, product and customer teams, and the ability to translate complex problems into scalable,

Qualifications

  • Extensive experience in data engineering, data platforms, or software engineering.
  • Proficiency in Python, Scala, or JavaScript/TypeScript.
  • Experience with two or more cloud ecosystems (AWS, Azure, or GCP).
  • Deep experience with distributed computing using Apache Spark.
  • Knowledge of CI/CD for production deployments.
  • Familiarity with MLOps and AI models.
  • Ability to design end-to-end data architectures combining pipelines and ML models.
  • Strong documentation and white-boarding skills.
  • Experience with enterprise clients and stakeholder management.
  • Willingness to travel 20% of the time.
  • Databricks Certification preferred but not essential.

Responsibilities

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications.
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Skills

Data engineering
Apache Spark
Python
Scala
JavaScript/TypeScript
Cloud platforms
CI/CD
MLOps
Architectural design
Travel readiness

Job description

Databricks is seeking a Senior Forward Deployed Engineer - Architect to lead production-grade data & AI solutions for clients in a Hybrid London setting. You will own the architecture, drive design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development.

This hands-on, customer-facing role requires technical leadership, strong collaboration with engineering, product and customer teams, and the ability to translate complex problems into scalable,

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