Senior Principal Data Engineer to serve as one of the highest-level technical leaders within the Data Engineering organization. Responsible for defining technical strategy, architecting enterprise-scale data platforms, and delivering scalable, secure, and high-quality data solutions.

This role combines deep expertise in cloud data platforms, software engineering, enterprise data architecture, data modeling, AI-assisted development, and technical governance. The successful candidate will influence technical direction across multiple business domains, establish engineering standards, and mentor engineers while remaining hands-on with architecture and solution design.

Key Responsibilities:

Enterprise Data Architecture

• Design and evolve enterprise-scale data platform architecture supporting analytical, operational, and AI workloads.
• Define reusable engineering frameworks, reference architectures, and technical standards.
• Drive long-term platform strategy focused on scalability, security, performance, and maintainability.

Technical Leadership

• Lead architecture reviews, technical design, and engineering governance for strategic initiatives.
• Partner with engineering leadership to define technology roadmaps and drive engineering best practices.
• Influence technical decisions across multiple teams without direct people management.

Data Engineering & Data Modeling

• Design scalable ETL/ELT frameworks, enterprise data pipelines, and logical and physical data models.
• Develop reusable, metadata-driven data integration frameworks.
• Establish standards for data modeling, metadata management, lineage, and performance optimization.

AI-Driven Engineering

• Champion AI-assisted software development across the engineering organization.
• Evaluate and implement AI coding assistants and engineering productivity tools.
• Build intelligent engineering accelerators, including:
  • AI-assisted code generation
  • Automated documentation
  • Code review assistance
  • Test generation
  • Data quality validation
  • AI-powered engineering copilots
• Drive engineering productivity and innovation through Generative AI.

Cloud & Platform Engineering

Provide technical leadership across modern cloud technologies including:

• Databricks
• Azure
• AWS
• Docker
• Kubernetes
• Python
• SQL
• Git
• REST APIs
• CI/CD

Data Governance & Engineering Excellence

• Design secure data platforms with enterprise governance, metadata, lineage, and RBAC/ABAC access controls.
• Establish software engineering best practices including code quality, testing, automation, observability, and reusable components.

Mentorship & Collaboration

• Mentor senior engineers and principal engineers while fostering engineering excellence.
• Partner with Product Management, Data Science, Analytics, Data Governance, Enterprise Architecture, and Infrastructure teams to deliver strategic data capabilities.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred).
• 7+ years of experience in Data Engineering, Software Engineering, or Data Platform Engineering.
• Extensive experience designing enterprise-scale cloud data platforms and data architectures.
• Strong expertise in conceptual, logical, and physical data modeling.
• Expert-level programming skills in Python and SQL.
• Hands-on experience with Databricks, Azure, AWS, Docker, Kubernetes, Git, REST APIs, and CI/CD.
• Strong understanding of software architecture, design patterns, distributed systems, and secure data platform design.
• Demonstrated ability to lead highly complex technical initiatives through influence rather than direct people management.
• Excellent communication, stakeholder management, and technical leadership skills.

Preferred Qualifications

• Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries.
• Experience with Databricks Unity Catalog, enterprise data governance, metadata management, and observability.
• Experience with Infrastructure as Code (Terraform, Bicep, or similar).
• Experience applying Generative AI to software and data engineering.

Leadership Expectations

The Senior Principal Data Engineer is expected to set technical direction, establish engineering standards, accelerate engineering productivity through automation and AI, mentor engineers, and serve as a trusted technical advisor to engineering and business leadership.

Success Metrics

Success will be measured by the scalability, reliability, and security of enterprise data platforms, delivery of strategic initiatives, adoption of reusable engineering frameworks, improvements in engineering productivity through AI, platform quality, and technical influence across the organization.

Salary Range: $150,900.00 - $195,900.00 annually
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.