Field Engineer

You're the technical engine behind Boomi's biggest customer engagements. You take extreme technical complexity and turn it into a strategic solution, which positions Boomi as the leader in data activation. Then you convert each high-tier engagement into a reusable asset, so the rest of the organization moves with speed and precision. The ideal candidate knows the Boomi ecosystem cold and has a track record of clearing architectural hurdles to drive revenue attainment. You bridge field requirements and product innovation. You have the executive presence to engage C-suite personas, and the discipline to productize complex solutions into workshops and blueprints. You'll manage role ambiguity and stay focused on strategic architecture, while building a culture of curiosity and a resilient community.

Responsibilities

Partner with Sales and Solution Engineering as the go-to resource on high-value opportunities; Work through complex architectural hurdles to drive revenue; Run high-impact POCs and turn them into reusable assets like industry blueprints and solution starter kits for the global solution engineering community; Distill complex innovations into training and blueprints that regional teams can run on their own; Write regularly for the Boomi Community on digital transformation trends and solve difficult technical problems in public forums; Bring customer requirements to Product Management to influence roadmaps; Work with Professional Services (PSO) to move blueprints into successful Paid Pilots; Replace costly, repetitive POCs with workshops and custom demonstrations; Track impact in Jira and homerun; Manage the "Request an Expert" workflow and meet SLAs

Requirements

Hands-on command of the Boomi portfolio (iPaaS, Data Management, API Management); Ability to write code in Java, Groovy, JavaScript, or Python to extend the platform and build custom solutions; Advanced knowledge of AWS, Azure, or GCP; Docker and Kubernetes, including navigating clusters with K9s, managing data streaming, and troubleshooting runtime frameworks; Deep expertise in the modern data stack, including data governance, lifecycle management, and synchronization; Proficiency in cloud data warehouses (Databricks, BigQuery, Redshift, Snowflake) and ETL/ELT tools (dbt, Fivetran, Informatica); Experience architecting enterprise-grade MDM systems with tools like Reltio, Informatica, Ataccama, or Stibo; Knowledge of metadata management, data lineage, and designing solutions that meet GDPR, CCPA, and HIPAA; Experience building and deploying Agentic AI solutions, including connecting to model providers like Anthropic, OpenAI, and Google, and running local Agent Gardens; Experience creating high-visibility expert content, such as blog posts, technical blueprints, and hands-on workshops