Director, Data Engineering

🔥 0 minutes ago

🌐 United Kingdom, Romania, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇷🇴 Romania – Remote 🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Parexel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Venture Round on 1990-01

Consulting • Healthcare • Logistics

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

• Contribute to the strategy, design, and roadmap for lakehouse architecture based on medallion principles supporting reporting and analytics across 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 aligned with governance requirements • Serve as a subject matter expert in data delivery, aligning data products and services with organizational priorities • Direct cross-functional prioritization and delivery processes for cohesive, timely outcomes • Champion transparency and communication of data technology roadmaps across the organization • Build, mentor, and direct global data engineering teams • Champion capability development in cloud engineering, Databricks, CI/CD, SQL, and Python • Promote a culture of innovation, operational rigor, and customer-focused delivery

🎯 Requirements

• 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 • Experience developing and implementing applications in new computing architecture environments using innovative technologies • Experience managing technical personnel across multiple project lifecycle phases with cross-functional experience • Experience managing financial resources across multiple projects • Experience developing efficient and effective solutions to complex business challenges • 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 • Bachelor's degree in Computer Science, Information Systems, or a related field (required)