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Boomi

Boomi is the platform for intelligent connectivity and automation. Connect everyone to everything, anywhere.

Field Engineer – Data Integration, AI

Field EngineerField EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

$175K - $220K / year

Seniority

Senior

Job Description

Field Engineer – Data Integration, AI

Boomi

• Lead Strategic Engagements: Partner with Sales and Solution Engineering as an elite resource for high-value opportunities, navigating complex architectural hurdles to drive revenue. • Productize Technical Wins: Execute high-impact POCs and "productize" those efforts into reusable assets like industry accelerators and solution blueprints for the global solution engineering community. • Scale Technical Excellence: Actively advance the organization by distilling complex innovations into scalable training and blueprints that empower regional teams. • 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. • Modernize Technical Validation: Shift the technical strategy from costly, repetitive POCs toward scalable workshops and custom demonstrations. • 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.

Job Requirements

  • Elite Technical Proficiency: Deep, hands-on command of the Boomi portfolio (iPaaS, Data Management, API Management). This role requires advanced coding skills (Java, Groovy, JavaScript, or Python) to extend platform capabilities and build custom solutions.
  • 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 must understand the nuances of data governance, lifecycle management, and synchronization. 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. This includes a deep understanding of data governance principles—specifically metadata management and data lineage—and the experience to design solutions that adhere to global privacy frameworks like GDPR, CCPA, and HIPAA.
  • 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.
  • Content & Enablement: Experience creating high-visibility expert content—such as blog posts, technical blueprints, and hands-on workshops—to eliminate manual efforts and scale knowledge globally.

Benefits

  • Click here for an overview of our benefits at Boomi!

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