- Location
- United Kingdom-Sheffield-Remote · Romania-Remote · India-Chandigarh-Remote
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Director
- Experience
- 6+ years
- Education
- Bachelor
- Source
- Workday
Description
When our values align, there's no limit to what we can achieve.
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
As Director of Data Engineering [RWD] , you'll be a strategic and hands-on leader responsible for enabling Parexel's real-world data movement within the Enterprise Data Lake and delivering standardized operational data products across clinical, safety, and corporate domains. You'll partner with our Data and Technology teams, Data and Analytics Center of Excellence, and business stakeholders to ensure trusted, high-quality, well-governed data with consistent definitions and reliable movement across the enterprise.
What You'll Lead
Data Lake Engineering & Strategy
Contribute to the strategy, design, and roadmap for our lakehouse architecture based on medallion principles that supports reporting and analytics aligned to operational, clinical, financial, and safety needs
Direct engineering activities across data ingestion, transformation, storage, and optimization within the Enterprise Data Lake
Oversee performance, quality, reliability, security, and lifecycle management of data in the lake environment
Ensure scalable engineering pipelines across data domains, that align with governance requirements
Delivery Excellence & Cross-Functional Leadership
Serve as a subject matter expert in data delivery, aligning data products and services with organizational priorities
Direct cross-functional prioritization and delivery processes to ensure cohesive, timely outcomes
Champion transparency and communication of data technology roadmaps across the organization
Team Leadership & Organizational Development
Build, mentor, and direct global data engineering teams to deliver excellence
Champion capability development in cloud engineering, Databricks, CI/CD, SQL, and Python
Promote a culture of innovation, operational rigor, and customer-focused delivery
What We're Looking For
Experience & Track Record
12+ years of IT experience developing, implementing, and maintaining large-scale enterprise integration services and platforms across multiple hardware and software environments, with substantial expertise in emerging computing architectures
Exposure to Real World Data in the clinical/medical space
Experience with GxP regulations in a life sciences environment advantageous
8+ years leading teams in data delivery management and execution, including major projects in data management, data integration, and analytics
At least 6 years of management experience, including:
Successfully developing and implementing applications in new computing architecture environments using innovative technologies
Managing technical personnel across multiple project lifecycle phases with cross-functional experience
Managing financial resources to achieve goals across multiple projects
Developing efficient and effective solutions to complex business challenges
Technical Expertise
Extensive experience implementing and supporting enterprise data initiatives on cloud platforms
Demonstrated expertise in data and cloud platforms, particularly Azure Databricks
Significant experience with medallion architecture-based data lake implementations
Advanced proficiency in SQL querying and query tuning (mandatory)
Proficiency in modern data management and data-sharing tools, programming languages (especially Python), relational databases, data transformation, and development frameworks
Deep understanding of architectural best practices, application design, and estimation processes
Thorough knowledge of application architectures and enterprise application ecosystems
Education
Bachelor's degree in Computer Science, Information Systems, or a related field (required)
If you're an experienced data engineering leader with a passion for building scalable, enterprise-grade data solutions, we'd love to hear from you. Apply now to join our team and help shape the future of data at Parexel!