Associate Director, Data Engineering

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Parexel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

💰 Venture Round on 1990-01

Healthcare Insurance • Biotechnology • Pharmaceuticals

Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.

📋 Description

• Enable Parexel’s data movement within the Enterprise Data Lake • Deliver standardized operational data products across clinical, safety, and corporate domains • Contribute to data lake strategy, engineering, and operations • Ensure trusted, high-quality, and well-governed data • Serve as a subject matter expert in data delivery • Lead engineering activities across data ingestion, transformation, storage, and optimization within the Enterprise Data Lake • Oversee the performance, quality, reliability, security, and lifecycle management of data in the lake environment • Ensure scalable engineering pipelines across data domains • Build, mentor, and lead global data engineering teams • Promote a culture of innovation, operational rigor, and customer-focused delivery

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field • Extensive experience implementing and supporting enterprise data initiatives on cloud platforms • Proficiency in modern data management and data-sharing tools, programming languages, relational databases, data transformation, and development frameworks • Experience with GxP regulations in a life sciences environment is highly desirable • Demonstrated expertise in data and cloud platforms, particularly Azure Databricks • Deep understanding of architectural best practices and application design and estimation processes • Significant experience with medallion architecture-based data lake implementations; Power BI experience is preferred • Advanced level in SQL querying and query tuning is mandatory • Thorough knowledge of application architectures and enterprise application ecosystems • Strong and vast IT experience developing, implementing, and maintaining large-scale enterprise integration services and platforms across multiple hardware and software environments

🏖️ Benefits

• Competitive base salary • Bonus and holiday pay • Other leading benefits