Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Fellow, Data Engineering based in India.

This is a strategic enterprise data leadership role focused on modernizing data platforms and accelerating AI-driven innovation across a global, highly regulated environment. You will define the architecture roadmap for scalable, cloud-native data ecosystems that support clinical research, analytics, and business intelligence. The role combines enterprise architecture, data engineering, governance, AI, and technology transformation at significant organizational scale.

• Define and execute the enterprise-wide data platform strategy, architecture vision, and modernization roadmap, including migration from legacy environments to scalable, cloud-native platforms.
• Design secure, resilient, and high-performance data architectures that meet enterprise security, privacy, and regulatory requirements, including HIPAA, GDPR, and SOC 2.
• Lead the adoption of modern data and AI technologies, including Lakehouse architectures, unified data catalogs, SQL analytics, AI/ML frameworks, and advanced analytics platforms.
• Establish enterprise data governance practices covering data lineage, quality, access controls, standards, and responsible data management.
• Lead the architecture and implementation of generative AI, retrieval-augmented generation, and agentic AI solutions that create measurable business and clinical research value.
• Define enterprise AI architecture spanning large language models, vector databases, AI agents, model governance, and supporting infrastructure.
• Establish DataOps, DevOps, and MLOps practices, including reusable architecture patterns and CI/CD capabilities that enable reliable and scalable delivery.
• Partner with executive leadership to develop technology roadmaps, business cases, transformation strategies, and investment priorities aligned with organizational objectives.
• Mentor architects, engineering managers, and technical leads while building and expanding a Center of Excellence for data, analytics, and AI.
• Lead strategic technology evaluations and vendor partnerships, ensuring platform selections support long-term scalability, security, and business needs.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent professional experience; an advanced degree is preferred.
• 12+ years of experience in enterprise data architecture, data engineering, cloud platform design, or comparable technical leadership roles.
• Demonstrated success designing and implementing enterprise-scale data platforms, data warehouses, data lakes, or modern data ecosystems.
• Strong expertise with at least one major cloud platform such as AWS, Azure, or GCP, together with solid knowledge of modern distributed data technologies.
• Experience developing data governance frameworks, data quality standards, lineage capabilities, access controls, and compliance practices in healthcare, life sciences, or other regulated environments.
• 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.
• Experience with modern data platforms such as Databricks, Snowflake, or comparable technologies is highly valuable.
• Proven ability to influence executive stakeholders, lead cross-functional initiatives, drive technology adoption, and translate complex technical concepts into clear business outcomes.
• Experience working with clinical research, biopharmaceutical, healthcare, or life sciences organizations is preferred.
• Strong strategic thinking, architecture judgment, analytical ability, communication skills, and problem-solving capabilities.
• Demonstrated ability to mentor senior technical professionals and establish engineering standards, reusable patterns, and communities of practice.
• Cloud architecture certification, such as AWS Solutions Architect or Azure Solutions Architect, is advantageous.
• A patient-focused mindset and genuine interest in applying technology to improve clinical research and healthcare outcomes.

• Fully remote opportunity based in India.
• Opportunity to influence enterprise-wide data, analytics, cloud, and AI strategy at significant scale.
• Work on transformational initiatives involving modern cloud platforms, generative AI, advanced analytics, and data modernization.
• Exposure to highly regulated healthcare and life sciences environments with meaningful real-world impact.
• Opportunities to collaborate with executive leadership and influence long-term technology investment and architecture decisions.
• Continuous learning and exposure to emerging technologies and evolving data and AI practices.
• Opportunity to mentor senior technical teams and help establish a data, analytics, and AI Center of Excellence.
• Flexible, growth-oriented working environment designed to give employees space to do their best work.
• Career development opportunities within a global organization focused on innovation and meaningful impact.