Staff Forward Deployed Engineer

Matillion

Manchester

On-site

GBP 84,000 - 126,000

Full time

14 days+

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Benefits offered by this job

Company Equity
30 days holiday
Volunteer leave
Private Health Insurance
Life Insurance
Pension
Mental health support

Job summary

Matillion is seeking a Staff Forward Deployed Engineer to lead Maia rollouts, working remotely with distributed teams and on-site when needed. You’ll own engagements, architect data solutions, and influence product feedback acrossSales, Product, Engineering and Customer Success.

You will build scalable data pipelines, modify code when features are missing, and drive fast MVPs while ensuring security and quality standards.

Qualifications

  • 5+ years of production-grade software development and data integration, featuring expert Python, SQL, and object-oriented skills (Java/Go) for designing reusable architectures and refactoring complex codebases.
  • Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP).
  • Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate.
  • Disciplined use of AI tools across the delivery process with the ability to validate output, supported by optional experience in production LLMs, RAG, and AI agents.
  • Proven background in customer-facing technical delivery, spanning pre-sales technical discovery, hands-on implementation, and escalation management.
  • Excellent communication skills to connect with both C-suite executives and technical developers during complex debugging sessions.
  • Strong engineering judgement and systems thinking to make sound architectural trade-offs between speed, scalability, and maintainability under ambiguity.
  • Execution bias and high autonomy to deliver working production systems independently in high-pressure environments.
  • Deep customer empathy and rapport-building capabilities that establish long-term trust with technical teams and executive stakeholders.
  • Founder mentality and a multiplier mindset to take full ownership of outcomes while elevating the performance of surrounding team members.

Responsibilities

  • Owning end-to-end customer engagements by running discovery, architecting multi-cloud deployments, writing production-grade code, and guiding projects through to production cut-over.
  • Building complex data pipelines, models, and integrations across cloud data platforms to ensure customers achieve the core outcomes they adopted Maia for.
  • Modifying Matillion’s underlying codebase directly when native platform features are missing, adhering to strict engineering, security, and quality standards.
  • Delivering fast, pragmatic MVPs by diagnosing real underlying customer problems, questioning initial requirements, and shrinking scope to accelerate platform adoption.
  • Cultivating executive trust and serving as a cross-functional catalyst across Sales, Product, Engineering, and Customer Success to resolve complex escalations at the first point of contact.
  • Enabling total customer self-sufficiency by training internal champions and creating clear handover documentation for Customer Success and Support teams upon project exit.
  • Securing technical wins during pre-sales cycles through technical discovery, proof of concept deliveries, objection handling, and joint strategy work with Account Executives.
  • Influencing product evolution by identifying repeating delivery patterns, submitting structured product feedback, and building reusable implementation frameworks that minimize future custom work.
  • Working agentic-first by integrating AI tools across the entire delivery lifecycle while setting clear quality validation standards for AI-generated outputs.
  • Elevating team performance by mentoring junior engineers, shaping hiring standards, refining delivery processes, and continuously updating expertise in emerging AI and cloud tech.

Skills

Python
SQL
Java/Go
Distributed systems
CI/CD
Kubernetes
Cloud platforms
Snowflake
Databricks
AI tools
Customer delivery

Job description

Are you ready to shape the future of data?

Matillion is the company behind Maia, the AI Data Automation platform.

In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster.

We started in Manchester and now we’re global - with teams across the UK, US and India.

We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it.

The Staff Forward Deployed Engineer is the senior operator we put on our most significant and complex Maia rollouts and expansions. Working primarily remotely with our distributed teams and on-site when it counts, they own these engagements end to end, architecting and building production-grade solutions, modifying Matillion’s own product code where the platform needs it, and holding the highest engineering bar under real delivery pressure.

A true force multiplier, they work at every level and across Sales, Product, Engineering, and Customer Success: earning technical wins, acting as a hands-on escalation point to Customer Success, and driving adoption and expansion in their accounts. They ship quickly and to standard in a low-friction way, turn their work into reusable assets and product feedback, and mentor the FDEs coming up behind them.

What you will be doing
  • Owning end-to-end customer engagements by running discovery, architecting multi-cloud deployments, writing production-grade code, and guiding projects through to production cut-over.
  • Building complex data pipelines, models, and integrations across cloud data platforms to ensure customers achieve the core outcomes they adopted Maia for.
  • Modifying Matillion’s underlying codebase directly when native platform features are missing, adhering to strict engineering, security, and quality standards.
  • Delivering fast, pragmatic MVPs by diagnosing real underlying customer problems, questioning initial requirements, and shrinking scope to accelerate platform adoption.
  • Cultivating executive trust and serving as a cross-functional catalyst across Sales, Product, Engineering, and Customer Success to resolve complex escalations at the first point of contact.
  • Enabling total customer self-sufficiency by training internal champions and creating clear handover documentation for Customer Success and Support teams upon project exit.
  • Securing technical wins during pre-sales cycles through technical discovery, proof of concept deliveries, objection handling, and joint strategy work with Account Executives.
  • Influencing product evolution by identifying repeating delivery patterns, submitting structured product feedback, and building reusable implementation frameworks that minimize future custom work.
  • Working agentic-first by integrating AI tools across the entire delivery lifecycle while setting clear quality validation standards for AI-generated outputs.
  • Elevating team performance by mentoring junior engineers, shaping hiring standards, refining delivery processes, and continuously updating expertise in emerging AI and cloud tech.
What we are looking for
  • 5+ years of experience in production-grade software development and data integration, featuring expert Python, SQL, and object-oriented skills (Java/Go) for designing reusable architectures and refactoring complex codebases.
  • Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP).
  • Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate.
  • Disciplined use of AI tools across the delivery process with the ability to validate output, supported by optional experience in production LLMs, RAG, and AI agents.
  • Proven background in customer-facing technical delivery, spanning pre-sales technical discovery, hands-on implementation, and escalation management.
  • Excellent communication skills to connect with both C-suite executives and technical developers during complex debugging sessions.
  • Strong engineering judgement and systems thinking to make sound architectural trade-offs between speed, scalability, and maintainability under ambiguity.
  • Execution bias and high autonomy to deliver working production systems independently in high-pressure environments.
  • Deep customer empathy and rapport-building capabilities that establish long-term trust with technical teams and executive stakeholders.
  • Founder mentality and a multiplier mindset to take full ownership of outcomes while elevating the performance of surrounding team members.

At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level and country. This role’s estimated annual salaried pay range for this position is £84,160 - £126,240. The final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process.

More about Matillion

We operate a flexible working culture that promotes work-life balance, with benefits including:

  • Company Equity
  • 30 days holiday + bank holiday
  • 5 days paid volunteering leave
  • Private Health Insurance
  • Life Insurance
  • Pension
  • Access to mental health support

Find out more about life on #TeamGreen here.

Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

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