[Hiring] Principal Fellow, Data Engineering @Parexel

Role Description

We are seeking a Principal Fellow, Data Engineering (Enterprise Data Architecture Leader) to join our team. As a Principal Fellow, you will drive strategic data platform modernization and AI innovation that accelerates clinical research operations and business intelligence across Parexel. This position plays a key role in establishing enterprise-wide data governance, architecting scalable analytics solutions, and leading the adoption of advanced technologies that enable faster, more efficient clinical trials. You'll collaborate with cross-functional leadership teams, define technology standards and best practices, and contribute to transformational initiatives from conception through enterprise-wide implementation.

Responsibilities include:

• Designing enterprise data platforms
• Leading AI and analytics strategy
• Establishing governance frameworks
• Mentoring technical teams

You'll join a fast-paced, growth-oriented environment focused on making a meaningful impact through modernizing legacy systems, enabling data-driven decision making, and accelerating innovation. With diverse teams and continuous learning opportunities, the Enterprise Data Architecture Leader can explore emerging technologies, expand expertise in AI and cloud platforms, and advance into strategic leadership roles across the organization.

Qualifications

• Strengths in enterprise architecture, cloud platform design, and data engineering
• Experience working in healthcare, life sciences, regulated environments, or large-scale enterprise settings
• The ability to collaborate across executive teams, influence organizational strategy, and communicate complex technical concepts to non-technical stakeholders
• A patient-focused mindset and commitment to using technology to advance clinical research and patient outcomes
• Comfort working with modern cloud platforms, distributed systems, and emerging AI/ML technologies

Requirements

• Bachelor’s degree in computer science, Engineering, Data Science, or related field, or equivalent professional experience
• 12+ years of experience in enterprise data architecture, data engineering, cloud platform design, or related technical leadership roles
• Demonstrated expertise in designing and implementing data platforms, data warehouses, or data lakes at enterprise scale
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and modern data technologies
• Experience with governance frameworks, data quality standards, and regulatory compliance in healthcare or regulated industries
• Proven ability to lead cross-functional teams, influence organizational strategy, and drive technology adoption
• Excellent communication, strategic thinking, and problem-solving skills

Preferred Qualifications

• Advanced degree (master’s or PhD) in Computer Science, Data Science, or related field
• Experience in clinical research, biopharmaceutical, or life sciences organizations
• Expertise in AI/ML architecture, generative AI, or advanced analytics
• Certification in cloud architecture (AWS Solutions Architect, Azure Solutions Architect, or equivalent)
• Experience with Databricks, Snowflake, or similar modern data platforms

Benefits

• Flexibility and growth opportunities
• Creating space for people to do their best work