Key skills
PythonSQLAPI developmentDistributed systemsCloud infrastructureKubernetes deploymentsData pipeline toolingETL/ELTChange Data Capture (CDC)AI API integrationAI code generation toolsTechnical deliveryConsultingCustomer-facing experienceStakeholder managementAccountability to clientsResilienceAIOpenAIAnthropicAgenticETLELTData EngineeringAWSAzureGCPKubernetesStakeholder ManagementSales
About this role
Matillion is the intelligent data integration platform that is transforming how businesses work with data. The Forward Deployed Engineer role involves working directly with enterprise customers to solve complex technical challenges, drive adoption, and unlock the full value of the Maia platform, focusing on deployment, implementation, and optimization of data pipelines.
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
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! Consulting experience is a strong plus; you understand the discipline of structured delivery, stakeholder management and what it means to be accountable to a client
- Hands-on experience integrating AI APIs (OpenAI, Anthropic) and leveraging AI code generation tools. You're building with AI, not just talking about it
- 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