Data Integration Manager

Principal Engineer, Enterprise Data Integration Pay: $180 - $225k Base + Bonus + Equity No Sponsorship Offered About the Opportunity A rapidly growing, innovation-focused organization within a highly regulated industry is seeking a senior-level data integration leader to help build and scale enterprise integration and data engineering capabilities. This individual will play a key role in connecting enterprise applications, analytics platforms, data warehouses, master data management systems, and external partner ecosystems while ensuring compliance, scalability, and operational excellence. Responsibilities Lead the design, implementation, and support of enterprise integration and data engineering solutions, including APIs, middleware, event-driven architecture, ELT pipelines, and cloud data platforms. Define and execute an enterprise integration roadmap aligned with business and technology priorities across commercial, finance, operations, research, and quality functions. Architect and oversee integrations between enterprise SaaS applications, data warehouses, analytics environments, and third-party partner systems. Establish integration standards, monitoring frameworks, documentation practices, data contracts, and governance processes. Partner with business stakeholders to develop data governance, data quality, master data management, lineage, metadata, and stewardship capabilities. Ensure data solutions meet regulatory, compliance, security, auditability, and validation requirements within a regulated environment. Lead and mentor technical resources, vendor partners, and consultants while driving operational excellence and continuous improvement. Must-Have Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, Business Administration, or a related field. 7-10+ years of experience in enterprise integration, data engineering, cloud data platforms, middleware, analytics platforms, or enterprise applications. Hands-on experience with technologies such as Snowflake, dbt, Databricks, Informatica/IICS, Boomi, MuleSoft, Azure Integration Services, Fivetran, or similar platforms. Strong experience building enterprise integrations, API-based services, ETL/ELT pipelines, data orchestration, and cloud data architectures. Experience with enterprise SaaS ecosystems (ERP, CRM, HCM, Quality, Clinical, or Research platforms) and working within regulated environments. #J-18808-Ljbffr