Principal Data Engineer

The role

The Principal Data Engineer will design, implement, and operate the Data Hub core platform capabilities. This senior technical leader will work on cloud-native infrastructure, data architecture, and data engineering pipelines.

What you will do

• Design, build, and maintain scalable, secure, and reliable cloud-native data platform infrastructure.
• Develop infrastructure-as-code, CI/CD pipelines, deployment automation, and environment management processes.
• Design scalable data models supporting analytics, reporting, AI/ML, and operational use cases.
• Build and optimize data ingestion, transformation, and delivery pipelines.
• Establish and enforce software engineering, GitOps, DevOps, testing, and deployment standards.
• Identify and resolve performance bottlenecks across pipelines, databases, and infrastructure.
• Mentor Data Engineers, Analytics Engineers, and other technical contributors.
• Participate in Data Hub leadership activities including roadmap planning and technology evaluations.

Required qualifications

• Bachelor’s degree in computer science, engineering, Information Systems, or related field or equivalent experience.
• 8+ years of experience in Data Engineering, Platform Engineering, Infrastructure Engineering, or related technical disciplines.
• Demonstrated expertise designing and implementing modern cloud-based data platforms.
• Strong hands-on experience with data warehousing, orchestration, transformation, and DevOps technologies.
• Experience building and optimizing large-scale data pipelines and data models.
• Deep understanding of software engineering principles, infrastructure automation, and production operations.
• Experience operating in highly regulated, compliance-sensitive, or enterprise environments.
• Proven track record of leading technical initiatives through influence rather than direct authority.
• Expert-level SQL.
• Strong Python skills.

Nice to have

• Advance degree
• Experience within healthcare, life sciences, pharmaceutical, or analytics organizations.
• Experience supporting AI/ML platforms, MLOps capabilities, feature stores, or model deployment frameworks.
• Familiarity with claims, formulary, commercial, or real-world evidence datasets.
• Experience leading enterprise-scale data migrations, modernization programs, or platform consolidations.
• Exposure to global engineering teams and distributed delivery models.

Before you apply

• Candidates must be legally authorized to work in the country of employment without employer sponsorship.

About the company

Precision Medicine Group is an Equal Opportunity Employer.