Principal Fellow, Data Engineering

Parexel

. Define and execute enterprise-wide data platform strategy and architecture roadmap .

Posted 10/7/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture, cloud platform design, and the implementation of data governance frameworks. Proven ability to lead cross-functional teams and drive technology adoption in healthcare and regulated environments.

Highest-signal resume keywords

Enterprise Data ArchitectureCloud Platform DesignData Governance FrameworksAI/ML TechnologiesDataOps and DevOps Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Platform StrategyData Lakehouse ArchitectureSQL AnalyticsGenerative AI ImplementationData WarehousingData EngineeringCloud TechnologiesData Quality StandardsRegulatory ComplianceLarge Language Models

Soft Skills

Strategic ThinkingProblem-SolvingExcellent CommunicationInfluencing Organizational StrategyMentoring

Tools & Technologies

AWSAzureGCPVector DatabasesCI/CD PipelinesAI AgentsData CatalogsDistributed SystemsData LineageRole-Based Access Controls

Industry Keywords

HIPAAGDPRSOC2HealthcareLife SciencesClinical ResearchRegulated IndustriesEnterprise SettingsDataOpsMLOps

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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