Chief Data Architect

2 weeks ago

kannur, India beBeeDataArchitect Full time

Job OverviewLead the design and delivery of data, analytics, and AI programs across Clinical, Commercial, and Medical Affairs domains. Provide architectural leadership and ensure high-quality, compliant delivery for pharma clients.Design end-to-end data platform architectures to meet business needs.Build scalable solutions on leading cloud platforms using best-practice patterns.Develop data models and integrate pharma datasets (EDC, CTMS, IRT, CRM, 3PL, claims, hub, dispense, etc.).Produce solution blueprints, architecture diagrams, and implementation roadmaps to guide technical teams.Conduct design reviews and ensure solution quality.Ensure adherence to Data governance, Security & Compliance regulations.Oversee operational support activities, driving automation where possible and resolving data management and analytics-related issues.Key ResponsibilitiesProvide technical leadership and guidance to engineering teams, ensuring high-quality, compliant delivery of data, analytics, and AI programs.Design and deliver end-to-end data platform architectures to support business growth.Collaborate with cross-functional teams to develop and implement data-driven solutions.Stay up-to-date with industry trends and emerging technologies to enhance solution offerings.QualificationsFor this role, we are seeking an experienced professional with a strong background in data engineering, architecture, or delivery leadership roles.Bachelor's degree in computer science/software engineering or equivalent combination of education and experience.10+ years in data engineering, architecture, or delivery leadership roles.At least 5 years of experience working in the Biotech/Pharma Industry supporting Clinical/Commercial business units to meet their Data and Reporting needs.Expertise in cloud platforms, data lake/Lakehouse architectures, modern ELT patterns, SQL, Python, Spark, and data modelling skills is required. Experience integrating pharma datasets & systems, and understanding of regulated data environments is also necessary.A deep understanding of specific business processes within the pharma value chain, such as clinical trial phases, supply chain logistics, is beneficial. Experience in designing and managing APIs for data ingestion and consumption is also desirable.Good-to-Have SkillsThe following skills are not essential but would be advantageous:Experience with GenAI, ML pipelines, RAG architectures, embeddings, and vector DBs.Master Data Management (MDM) experience.Cloud/Data certifications (AWS/Azure/Snowflake/Databricks).CI/CD, Terraform, containerization (Docker/K8S).

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