Principal Fellow, Data Engineering

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Define and execute enterprise-wide data platform strategy and architecture roadmap • Modernize legacy systems to cloud-native, scalable solutions • Design secure, high-performance data platforms compliant with HIPAA, GDPR, SOC2, and enterprise security standards • Lead adoption of data Lakehouse architecture, unified data catalogs, SQL analytics, and AI/ML frameworks • Establish data governance frameworks including data lineage, quality standards, and role-based access controls • Lead implementation of generative AI, retrieval-augmented generation (RAG), and agentic AI solutions • Design enterprise AI architecture leveraging large language models, vector databases, AI agents, and model governance • Establish DataOps, DevOps, and MLOps frameworks, reusable architecture patterns, and CI/CD pipelines • Partner with executive leadership on architecture roadmaps, business cases, and transformation strategies • Mentor architects, engineering managers, and technical leads • Build and grow a Center of Excellence for data, analytics, and AI technologies • Lead strategic vendor partnerships and technology evaluations • Drive strategic data platform modernization and AI innovation across clinical research operations and business intelligence

🎯 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 • Experience working in healthcare, life sciences, regulated environments, or large-scale enterprise settings • Comfort working with modern cloud platforms, distributed systems, and emerging AI/ML technologies • Patient-focused mindset and commitment to using technology to advance clinical research and patient outcomes

🏖️ Benefits

• Flexibility and growth opportunities • Continuous learning opportunities • Opportunities to explore emerging technologies and expand expertise in AI and cloud platforms • Opportunities to advance into strategic leadership roles • Opportunity to shape the future of clinical research technology and influence organizational strategy