Principal Fellow, Data Engineering

<h3>Accountabilities</h3><li>Define and execute the enterprise-wide data platform strategy, architecture vision, and modernization roadmap, including migration from legacy environments to scalable, cloud-native platforms.</li><li>Design secure, resilient, and high-performance data architectures that meet enterprise security, privacy, and regulatory requirements, including HIPAA, GDPR, and SOC 2.</li><li>Lead the adoption of modern data and AI technologies, including Lakehouse architectures, unified data catalogs, SQL analytics, AI/ML frameworks, and advanced analytics platforms.</li><li>Establish enterprise data governance practices covering data lineage, quality, access controls, standards, and responsible data management.</li><li>Lead the architecture and implementation of generative AI, retrieval-augmented generation, and agentic AI solutions that create measurable business and clinical research value.</li><li>Define enterprise AI architecture spanning large language models, vector databases, AI agents, model governance, and supporting infrastructure.</li><li>Establish DataOps, DevOps, and MLOps practices, including reusable architecture patterns and CI/CD capabilities that enable reliable and scalable delivery.</li><li>Partner with executive leadership to develop technology roadmaps, business cases, transformation strategies, and investment priorities aligned with organizational objectives.</li><li>Mentor architects, engineering managers, and technical leads while building and expanding a Center of Excellence for data, analytics, and AI.</li><li>Lead strategic technology evaluations and vendor partnerships, ensuring platform selections support long-term scalability, security, and business needs.</li><h2>Requirements</h2><li>Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent professional experience; an advanced degree is preferred.</li><li>12+ years of experience in enterprise data architecture, data engineering, cloud platform design, or comparable technical leadership roles.</li><li>Demonstrated success designing and implementing enterprise-scale data platforms, data warehouses, data lakes, or modern data ecosystems.</li><li>Strong expertise with at least one major cloud platform such as AWS, Azure, or GCP, together with solid knowledge of modern distributed data technologies.</li><li>Experience developing data governance frameworks, data quality standards, lineage capabilities, access controls, and compliance practices in healthcare, life sciences, or other regulated environments.</li><li>Strong knowledge of AI/ML architecture, generative AI, RAG, agentic AI, or advanced analytics, with the ability to translate emerging technologies into practical enterprise solutions.</li><li>Experience with modern data platforms such as Databricks, Snowflake, or comparable technologies is highly valuable.</li><li>Proven ability to influence executive stakeholders, lead cross-functional initiatives, drive technology adoption, and translate complex technical concepts into clear business outcomes.</li><li>Experience working with clinical research, biopharmaceutical, healthcare, or life sciences organizations is preferred.</li><li>Strong strategic thinking, architecture judgment, analytical ability, communication skills, and problem-solving capabilities.</li><li>Demonstrated ability to mentor senior technical professionals and establish engineering standards, reusable patterns, and communities of practice.</li><li>Cloud architecture certification, such as AWS Solutions Architect or Azure Solutions Architect, is advantageous.</li><li>A patient-focused mindset and genuine interest in applying technology to improve clinical research and healthcare outcomes.</li><h2>Benefits</h2><li>Fully remote opportunity based in India.</li><li>Opportunity to influence enterprise-wide data, analytics, cloud, and AI strategy at significant scale.</li><li>Work on transformational initiatives involving modern cloud platforms, generative AI, advanced analytics, and data modernization.</li><li>Exposure to highly regulated healthcare and life sciences environments with meaningful real-world impact.</li><li>Opportunities to collaborate with executive leadership and influence long-term technology investment and architecture decisions.</li><li>Continuous learning and exposure to emerging technologies and evolving data and AI practices.</li><li>Opportunity to mentor senior technical teams and help establish a data, analytics, and AI Center of Excellence.</li><li>Flexible, growth-oriented working environment designed to give employees space to do their best work.</li><li>Career development opportunities within a global organization focused on innovation and meaningful impact.</li>