For 75 years, Charles River employees have worked together to assist in the discovery, development and safe manufacture of new drug therapies. When you join our family, you will have a significant impact on the health and well-being of people across the globe. Whether your background is in life sciences, finance, IT, sales or another area, your skills will play an important role in the work we perform. In return, we’ll help you build a career that you can feel passionate about.

JOB SUMMARY

As a Director Data Engineer for our Enterprise Data Analytics team, you’ll be joining a purpose-driven team aligned with our mission: Together We Create Healthier Lives. We’re looking for visionary, self-driven leader to help expand its reach across all business lines. This is your opportunity to shape how we integrate, govern, and elevate data quality to fundamentally transform how Charles River operates through data science and advanced analytics.

In this role, primary responsibilities include:

• Develop and executed a data engineering strategy aligned with enterprise goals and digital transformation;
• Collaborate with stakeholders to define a unified data architecture and scalable roadmap;
• Promote innovation through emerging technologies and platform enhancements;
• Establish governance frameworks and best practices for data consistency and compliance;
• Architecte enterprise-scale data platforms using Microsoft Azure tools (Data Factory, Databricks, Data Lake, Event Hubs);
• Lead advanced Databricks implementations for large-scale processing, ML workflows, and real-time analytics;
• Enable actionable insights via semantic models and Power BI enterprise reporting;
• Built robust data pipelines for high-volume ingestion, transformation, and distribution.
• Direct a high-performing team, ensured 99.9%+ uptime, and drove automation and DevOps for operational efficiency.

KEY ELEMENTS

We are looking for the following minimum qualifications for this role:

• Bachelor’s degree in computer science, Mathematics, or related fields;
• 7+ years of experience in technology leadership, with a proven track record of building, mentoring, and scaling high-performing engineering teams;
• 7+ years of hands-on Data engineering experience;
• 7+ years of data warehousing and ETL tools experience;
• 10+ years of progressively responsible experience in information technology;
• Deep expertise in database and data architecture, with demonstrated experience in designing robust dimensional data models;
• Experience with Finance Reporting Modernization;
• Experience with enterprise platforms such as Salesforce or SAP.

ROLE SPECIFIC INFORMATION:

• Location: Remote (from one of our Canadian site);

• Annual bonus based on performance;

• Schedule: Daytime between Monday and Friday;
• Permanent position as of the hiring, full-time 37.5hrs per week.

In this role, primary responsibilities include:

• Develop and executed a data engineering strategy aligned with enterprise goals and digital transformation;
• Collaborate with stakeholders to define a unified data architecture and scalable roadmap;
• Promote innovation through emerging technologies and platform enhancements;
• Establish governance frameworks and best practices for data consistency and compliance;
• Architecte enterprise-scale data platforms using Microsoft Azure tools (Data Factory, Databricks, Data Lake, Event Hubs);
• Lead advanced Databricks implementations for large-scale processing, ML workflows, and real-time analytics;
• Enable actionable insights via semantic models and Power BI enterprise reporting;
• Built robust data pipelines for high-volume ingestion, transformation, and distribution.
• Direct a high-performing team, ensured 99.9%+ uptime, and drove automation and DevOps for operational efficiency

We are looking for the following minimum qualifications for this role:

• Bachelor’s degree in computer science, Mathematics, or related fields;
• 7+ years of experience in technology leadership, with a proven track record of building, mentoring, and scaling high-performing engineering teams;
• 7+ years of hands-on Data engineering experience;
• 7+ years of data warehousing and ETL tools experience;
• 10+ years of progressively responsible experience in information technology;
• Deep expertise in database and data architecture, with demonstrated experience in designing robust dimensional data models;
• Experience with Finance Reporting Modernization;
• Experience with enterprise platforms such as Salesforce or SAP