Data Integration Manager

Harnham; Boston (MA); On-site; USD 180,000 - 225,000; Full time

Job summary

Harnham is seeking a Principal Engineer to lead enterprise data integration efforts in a regulated industry. You will drive design, governance, and roadmap execution for APIs, ETL/ELT pipelines, and cloud data platforms.

The role requires 7-10+ years in data engineering and integration, with hands-on experience across Snowflake, dbt, Databricks, and integration tools. Mentoring staff and aligning with compliance are key aspects.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 7-10+ years of experience in enterprise integration and data engineering.
• Hands-on with modern data platforms and integration tooling.

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 functions.
• Architect and oversee integrations between enterprise SaaS apps, data warehouses, analytics environments, and partner systems.
• Establish integration standards, monitoring frameworks, documentation practices, data contracts, and governance processes.
• Partner with 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.

Skills

Enterprise data integration

Leadership & mentoring

Regulated environment experience

Data governance & quality

Cloud data platforms

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, Business Administration, or a related field

Tools

Snowflake

dbt

Databricks

Informatica/IICS

Boomi

MuleSoft

Azure Integration Services

Fivetran

Job description

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.