Staff Forward Deployed Engineer

Company: Matillion
Apply for the Staff Forward Deployed Engineer
Location: Manchester
Job Description:

Overview

As a Staff Forward Deployed Engineer, you lead complex Maia rollouts end-to-end, architecting production-grade data solutions across multi-cloud platforms. You work with cross-functional teams to accelerate adoption, deliver fast MVPs, and provide hands-on engineering leadership under pressure. You directly influence product feedback, reusable frameworks, and customer outcomes at scale. This role offers high visibility across Sales, Product, Engineering, and Customer Success with a focus on impactful technical delivery and mentorship.

Pay / Benefits

  • Company Equity
  • 30 days holiday + bank holiday
  • 5 days paid volunteering leave
  • Private Health Insurance
  • Life Insurance
  • Pension

Responsibilities

  • Own end-to-end customer engagements from discovery to production cut-over
  • Architect multi-cloud deployments and build complex data pipelines and integrations
  • Modify Matillion’s underlying codebase where platform features are missing
  • Deliver rapid MVPs by diagnosing root problems and refining scope
  • Act as a cross-functional catalyst to resolve escalations and build executive trust
  • Train internal champions and prepare handover documentation for support teams
  • Secure technical wins in pre-sales through discovery, PoCs, and strategy work
  • Influence product evolution by capturing repeat delivery patterns and feedback
  • Integrate AI tools across the delivery lifecycle and enforce quality standards
  • Mentor junior engineers, shape hiring standards, and keep AI/cloud expertise current

Key requirements

  • 5+ years in production-grade software development and data integration with Python, SQL, and OO languages (Java/Go)
  • Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure networking, and at least one cloud provider (AWS/Azure/GCP)
  • Hands-on experience with scalable data pipelines and platforms like Snowflake, Databricks, Redshift, or BigQuery
  • Experience with AI tooling, production LLMs, RAG, and AI agents
  • Customer-facing delivery experience including pre-sales, implementation, and escalation management
  • Excellent communication with executives and technical teams
  • Strong architectural judgment and ability to balance speed, scalability, and maintainability
  • Autonomy to deliver production systems in high-pressure environments
  • Empathy and rapport-building with technical and executive stakeholders
  • Founder mindset and ability to elevate team performance
  • strong communication
  • customer empathy and relationship building
  • problem solving under ambiguity
  • Python
  • SQL
  • Java or Go

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Posted: October 1st, 2026