Boomi Lp

Boomi Lp

Field Engineer - Data Integration & AI

United States of America

Sponsorship not specified$175k-$220kDetected 1 day ago
JavaScriptPythonJavaBigQuerySnowflakeRedshiftDatabricksAWSGCPAzureDockerKubernetesdbtData EngineeringAgentic AIComplianceJiraLeadership

About the role

  • Boomi, the data activation company for AI, powers the agentic enterprise by bringing data to life across the business.
  • If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
  • How You'll Make an Impact As a Field Engineer in our Global Field Engineering expert team, you will be the primary technical engine driving Boomi's most strategic and complex customer engagements.

Responsibilities

  • Lead Strategic Engagements: Partner with Sales and Solution Engineering as an elite resource for high-value opportunities, navigating complex architectural hurdles to drive revenue.
  • Drive Thought Leadership: Contribute regularly to the Boomi Community by writing about digital transformation trends and solving difficult technical problems in public forums.
  • Bridge Product & PSO: Translate complex customer requirements to Product Management to influence roadmaps and collaborate with Professional Services (PSO) to transition blueprints into successful Paid Pilots.
  • Maintain Operational Excellence: Operate with a data-driven approach, utilizing Jira and centralized dashboards to track impact, manage the "Phone a Friend" workflow, and adhere to SLAs.
  • Boomi strives to create an inclusive and accessible environment for candidates and employees. All employment decisions are based on business needs, job requirements, and individual qualifications.
  • Agentic AI: Experience building and deploying Agentic AI solutions. You must understand how to integrate with leading model providers (e.g., Anthropic, OpenAI, Google) and manage local Agent Gardens for data sovereignty.

Requirements

  • Elite Technical Proficiency: Deep, hands-on command of the Boomi portfolio (iPaaS, Data Management, API Management).
  • Cloud-Native Infrastructure: Advanced knowledge of cloud ecosystems (AWS, Azure, or GCP) and container orchestration(Docker/Kubernetes).
  • You must be comfortable navigating clusters using tools like K9s, managing data streaming, and troubleshooting runtime frameworks.
  • Data Management: Deep expertise in the modern data stack.
  • You are proficient in cloud data warehouses (e.g.,DataBricks, BigQuery, Lavender, Redshift, Snowflake) and ETL/ELT tools (e.g., dbt, Fivetran, Informatica).
  • Master Data Management & Governance: Proficiency in architecting enterprise-grade MDM systems (such as Reltio, Informatica, Ataccama, or Stibo) with a focus on data integrity and unified record strategy.

Skills

  • Boomi is committed to fair and equitable compensation practices.
  • Click here for an overview of our benefits at Boomi!
  • All employment decisions are based on business needs, job requirements, and individual qualifications.

Compensation

  • Boomi is committed to fair and equitable compensation practices.
  • The On Target Earnings (OTE) for this role are $175K - $220K (inclusive of commission).
  • Base compensation is determined by various factors including geographic location and the candidate's knowledge, skills, and experience This position is remote-friendly and, as such, final compensation will be determined by various factors including the candidate's knowledge, skills, experience, and geographic location.

Company info

  • We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self.
  • We are looking for an elite technical expert who can bridge the gap between field requirements and product innovation, possessing the executive presence to engage C-suite personas while maintaining the discipline to "productize" complex solutions into workshops and blueprints.

Visa & Work Authorization

  • Activate citizen service data to unlock community trust

This listing is sourced directly from Boomi Lp's careers page and normalized into a canonical job model.