数据工程总监（真实世界数据）
Director, Data Engineering (RWD)
当我们的价值观一致时，我们能实现的没有界限。
在Parexel，我们都有相同的目标——改善全球健康。从临床试验到监管、咨询和市场准入，我们提供的每项临床开发解决方案都建立在一个特别的基础上——对所做工作的深刻信念。
无论我们在Parexel做什么，都在为最终惠及患者的疗法开发做出贡献。我们认真对待工作，带着同理心去做，并致力于带来改变。
作为数据工程总监（真实世界数据），你将是一位战略性和亲力亲为的领导者，负责在企业数据湖中实现真实世界数据的流动，并在临床、安全和公司领域交付标准化的操作数据产品。你将与我们的数据和技术团队、数据和分析卓越中心以及业务相关方合作，确保数据可信、高质量、受良好治理，定义一致且在企业内可靠流动。
你将领导的内容
数据湖工程与策略
- 参与基于银盘原则的湖仓架构的战略、设计和路线图制定，支持符合运营、临床、财务和安全需求的报告和分析
- 指导企业数据湖中的数据摄取、转换、存储和优化等工程活动
- 监督湖环境中数据的性能、质量、可靠性、安全性和生命周期管理
- 确保跨数据领域的可扩展工程管道，符合治理要求
交付卓越与跨职能领导力
- 作为数据交付的专家，使数据产品和服务与组织优先事项保持一致
- 指导跨职能的优先级和交付流程，以确保协调一致、及时的结果
- 在组织内推动数据技术路线图的透明度和沟通
团队领导与组织发展
- 建立、指导和培养全球数据工程团队以实现卓越表现
- 推动云工程、Databricks、CI/CD、SQL 和 Python 的能力发展
- 倡导创新文化、操作严谨性和以客户为中心的交付
我们寻找的人选
经验与业绩记录
- 12年以上IT经验，从事大型企业集成系统的开发、实施和维护
查看英文原文
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!
Originally posted on Himalayas