Professional Services Engineer

Matillion; United States; Remote; USD 112,000 - 168,000; Full time

Benefits offered by this job

Company Equity

30 days holiday + bank holidays

5 days volunteering leave

Mental health support

Job summary

Matillion is hiring a Professional Services Engineer to deploy and optimize Maia Foundation platform for enterprise customers. You will architect integrations, modernise legacy ETL/ELT workflows, and enable Maia's agentic AI capabilities across cloud and Kubernetes environments.

Based in Sydney, this remote role supports regional customers as Matillion grows in the APAC market, working with OpenAI/Anthropic APIs and delivering production-ready solutions within 8–12 weeks.

Qualifications

• Production-grade software development experience with Python, SQL and API work.
• Hands-on ETL/ELT tooling experience in data engineering roles.
• Strong data architecture background and migration experience.

Responsibilities

• Own the deployment by architecting production-grade integrations and distributed data systems.
• Transform legacy ETL/ELT workflows into autonomous data pipelines across cloud platforms.
• Integrate AI APIs and use AI tooling to accelerate delivery of Maia capabilities.
• Deliver solutions from kickoff to production within an 8–12 week accelerator.
• Balance deep technical work with strategic customer conversations.

Skills

Python

SQL

API development

Data engineering

ETL/ELT

Data architecture

Tools

Kubernetes

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.

About the role

The Professional Services Engineer is a customer-embedded services delivery professional responsible for the deployment, implementation, and optimization of Maia Foundation platform, driving adoption, solving complex technical challenges, and enablement of Maia agentic AI capabilities. The PSE leads the technical deployment and implementation of the Maia Foundation platform by architecting production-grade integrations and distributed data systems that transform legacy ETL workflows into modern, autonomous data pipelines.

This role is based in Sydney, Australia. While the position is remote, we’re looking for someone located in-region to support our customers and build our presence as the region becomes an increasingly important growth market for Matillion.

What you will be doing

• Own the deployment: Architect and implement production-grade integrations and distributed data systems for enterprise customers, using Python, SQL, and modern API development.
• Modernise legacy data: Transform legacy ETL/ELT workflows into modern, autonomous data pipelines, working across cloud infrastructure (AWS/Azure/GCP) and Kubernetes.
• Build with AI, not just for it: Integrate AI APIs (OpenAI, Anthropic) and use AI code generation tools to accelerate delivery and enable Maia’s agentic capabilities.
• Deliver at pace: Take technical solutions from kickoff to production within an 8-12 week Accelerator window, owning outcomes even when the path isn’t straightforward.
• Move between altitudes: Alternate between deep technical problem-solving and strategic alignment conversations with customer executives.

What we are looking for

• Demonstrable experience building production-grade software, with strong programming ability in Python, SQL, and API development or equivalent.
• Data engineering background: Hands‑on experience with ETL/ELT tools, gained as a Data Engineer, DBA, or similar.
• Data architecture depth: Strong grasp of data architecture and data structures, with the ability to assess and redesign customer data environments as part of a migration.
• Comfortable wearing multiple hats: Ready to flex across technical delivery, customer communication, and (initially, in newer markets like Sydney) commercial support until dedicated resources are in place.
• Delivery under pressure: Track record of completing migration and deployment outcomes to a defined timeline, working directly with customer stakeholders.

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 $112,000 - $168,000. 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 holidays
• 5 days paid volunteering leave
• Access to mental health support

Your Safety

Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don’t click any links. Go straight to matillion.com/careers to verify open roles or reach us at [e-mail].

Find out more about life on #TeamGreen

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.