Senior Presales Solutions Engineer

Boomi is a fast-growing company focused on connecting everyone to everything through its intelligent integration and automation platform. The Senior Presales Solutions Engineer will act as the principal technical architect for North American clients, addressing challenges related to data fragmentation and quality while demonstrating the value of Boomi's data management tools.

Responsibilities:

• Lead the technical design of end-to-end data management strategies, incorporating Master Data Management (MDM), Data Stewardship, and automated quality frameworks
• Conduct deep-dive discovery sessions to identify systemic data silos and fragmentation, positioning Boomi’s governance capabilities as the solution for organizational data synchronization
• Partner with Account Executives and C-level stakeholders (CDO, CTO) to articulate the business impact of data integrity, moving beyond "point-to-point" integration toward holistic data lifecycle management
• Direct the execution of high-impact Proof of Concepts (PoCs) that validate Boomi’s ability to cleanse, enrich, and synchronize data across complex, heterogeneous environments
• Serve as the technical lead for "Win Teams," coordinating with product specialists to provide authoritative responses to RFI/RFP requirements concerning data security and compliance
• Act as the primary subject matter expert (SME) for Data Management within the AMER sales organization, bridging the gap between technical IT requirements and business-driven data governance initiatives

Requirements:

• Extensive experience in Master Data Management (MDM), Data Quality, and Data Governance principles
• Deep understanding of the architectural requirements for maintaining data veracity
• Proven proficiency in iPaaS technologies, enterprise service bus (ESB) patterns, and API-led connectivity as the delivery mechanism for governed data
• Exceptional ability to synthesize complex data landscapes into clear, executive-level presentations that highlight strategic ROI
• Demonstrated capability in designing resilient architectures that incorporate relational databases, cloud data warehouses, and distributed SaaS ecosystems
• A track record of consultative technical sales, with the ability to navigate complex organizational structures and build consensus among technical and business evaluators
• Advanced experience with enterprise Data Governance or Data Cataloging solutions (e.g., Collibra, Informatica, Lavender, or SAP)
• Familiarity with the application of AI and Machine Learning in the context of automated data matching and anomaly detection
• Knowledge of global data privacy and compliance standards (e.g., GDPR, CCPA)