Forward Deployed Engineer

Matillion

About The Position

Matillion is building Maia, an agentic AI platform that is redefining how businesses work with data at scale. Forward Deployed Engineers are crucial to making this a reality for customers. This is a technical, customer-embedded role within the Services Delivery team, combining world-class consulting with a world-class product. The role involves working directly with enterprise customers to solve complex technical challenges, drive adoption, and unlock the full value of Maia's agentic AI capabilities. The successful candidate will be the primary point of contact for customers, owning the end-to-end deployment, implementation, and optimization of the Maia Foundation platform. This includes leading technical delivery by architecting production-grade integrations and distributed data systems to transform legacy workflows into modern, autonomous data pipelines. This position offers high autonomy and high impact, operating at the cutting edge of AI and data integration.

Requirements

5+ years of experience building production-grade software with strong Python, SQL and API development skills; you work on data problems daily and you're comfortable owning delivery end-to-end with significant autonomy
Solid understanding of distributed systems, cloud infrastructure (AWS, Azure or GCP), Kubernetes deployments and modern data pipeline tooling including ETL/ELT and CDC
A genuine customer-facing background
Hands-on experience integrating AI APIs (OpenAI, Anthropic) and leveraging AI code generation tools
The adaptability to move between deep technical problem-solving and high-level strategic conversations with senior customer stakeholders, and the resilience to thrive in ambiguous, complex environments

Nice To Haves

Consulting experience is a strong plus

Responsibilities

Conducting technical discovery with enterprise customers to understand their data ecosystems, integration requirements and business priorities, then designing and owning the full technical delivery from architecture through to production deployment
Building production-grade integrations, API connections, data pipelines and custom transformations across heterogeneous systems
Designing and developing agentic AI workflows that automate data engineering tasks, and delivering hands-on training and enablement to customer teams to drive lasting adoption of Maia Foundation
Acting as a trusted technical advisor throughout the implementation lifecycle, collaborating cross-functionally with Sales, Field Engineering, Product and Engineering to ensure seamless customer outcomes
Identifying recurring technical patterns and product gaps, contributing structured feedback to Product and Engineering, and building reusable frameworks that drive efficiency across future deployments