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Databricks

Senior Forward Deployed Engineer (Technical Data Architect)

  • Hybrid
  • 6+ years

Salary

Not stated

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Description

Requisition ID: CSQ128R26

The company is a data and AI firm. More than 20,000 organizations worldwide, including 70% of the Fortune 500, use its platform. It is headquartered in San Francisco with over 30 offices.

This is a senior, customer-facing engineering role for hands-on builders. You will work with customers to build and move data and AI solutions into production.

You will own architecture and design decisions, and work with engineering, product and developer relations on long-term priorities.

The role is billable. You deliver projects to specification with strong customer empathy.

The forward deployed engineering team is hiring for several roles.

Responsibilities

  • Deliver production-grade systems for customer projects, including reference architectures, custom applications, data ingestion and ML/AI model integration.
  • Lead end-to-end design, build and deployment of big data and AI applications for strategic customers on large projects.
  • Scope technical delivery with engagement managers, using input from the customer.
  • Guide customers on architecture and design, and build or implement projects that help them understand, evaluate and adopt the platform.
  • Make architecture and design decisions that keep solutions secure and scalable, and that fit customer needs and platform best practices.
  • Coordinate with the internal technical team, project manager, architect and customer team so technical work meets customer needs.
  • Pass product and implementation feedback to engineering and customer support, and help speed up fixes for engagement issues.
  • Embed with customer teams and engage stakeholders from individual contributors to executives.
  • Build reusable accelerators, frameworks and practices that scale across accounts and inform the product roadmap.

Requirements

  • Background in data engineering, data platforms and analytics, or software engineering and full stack development.
  • Ability to write code in Python, Scala, JavaScript or TypeScript, and modern frameworks.
  • Working knowledge of two or more major clouds (AWS, Azure, GCP), with expertise in at least one.
  • Deep experience with distributed computing on Apache Spark, including its runtime internals.
  • Familiarity with CI/CD for production deployments.
  • Working knowledge of MLOps, ML and AI models, and AI APIs.
  • Experience designing and deploying performant, production end-to-end data architectures and applications that combine pipelines, ML/AI models and user-facing interfaces.
  • Experience delivering technical projects: managing scope, timelines and measurable outcomes, and turning complex concepts into actionable solutions.
  • Strong documentation and whiteboarding skills.
  • Experience with enterprise clients, managing conflicts across a broad range of stakeholders.
  • Commitment to building technical skills, with curiosity, adaptability and eagerness to explore new technologies that support deploying and integrating solutions for customer projects.
  • The company Certification is an advantage.

Conditions

Job role: Senior Forward Deployed Engineer, Technical Architect level.

Recruiter: Dina Hussain.

Travel to customers 20% of the time.

The company considers all applicants without regard to protected characteristics.

If a role requires access to export-controlled technology or source code, the company decides whether to apply for a U.S. government license and may decline an applicant on that basis alone.

Benefits

  • Comprehensive benefits and perks are offered, with details for each region available from the company.

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

Databricks

Office in London, United Kingdom

Also hiring in Zurich, Switzerland, Bellevue, United States, Amsterdam, Netherlands and 29 more places

19 of their 118 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

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13 checks

1 red flag

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6 checks

1 red flag

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  • Must-haves
Details11 facts · Role, Location, Compensation
Tech stack
  • Python
  • AWS
  • Azure
  • Spark
  • Databricks
  • TypeScript
  • JavaScript
  • CI/CD
Seniority
Senior
Specialty
Forward Deployed
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Forward Deployed
Seniority
Senior
Experience
6+ years
Tech stack
  • Python
  • AWS
  • Azure
  • Spark
  • Databricks
  • TypeScript
  • JavaScript
  • CI/CD

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

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