Principal Data Intergation

Principal Engineer, Enterprise Data Integration

Location: Boston, MA (Hybrid)

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.