We’re seeking an experienced Data Architect to join a project focused on Regulatory Strategy in the pharmaceutical/biotech domain.The project aims to deliver advanced solutions that support process orchestration, intelligent automation, data analytics, and predictive modeling for global regulatory operations in innovative medicine. Requirements: Proven experience in data architecture, data governance, and data modeling; Proficiency in developing data models (conceptual, logical, and physical); Strong stakeholder management and collaboration skills; Ability to translate complex business needs into technical specifications; Deep understanding of data governance frameworks and data quality practices; AWS Data Engineer Certification (or equivalent Azure/GCP certification); Bachelor’s degree in a technical, engineering, or scientific field; Minimum English Level: C1 Advanced. Will be a plus: Experience working with Snowflake and Denodo; AWS Well-Architected Framework certification ; AWS Certified Machine Learning Specialty certification. Responsibilities: Partner with Regulatory subject matter experts, technical product owners, engineers, and architecture teams to design scalable and supportable data architectures aligned with Regulatory Strategy and Intelligence goals; Collaborate with stakeholders to develop data architecture artifacts using standard tools (e.g., Data Flow Diagrams, Entity Relationship Diagrams, Data Integration Artifacts); Ensure architectural alignment with the data platform strategies and standards of Regulatory, RD, JJ Innovative Medicine, and the broader JJ enterprise; Maintain regular engagement with business and technical teams to build and update a data dictionary covering master data, reference data, critical and non-critical data elements; Develop and maintain conceptual, logical, and physical data models to support Regulatory Strategy solutions; Support the creation and implementation of a data governance framework, including policies for master, reference, and critical data elements; Identify authoritative data sources and manage data integration across Regulatory solutions; Define relationships between master and reference data entities; Translate business data needs into clear functional and technical specifications; Provide insights and recommendations through data analysis and architectural best practices to promote data-driven decision-making; Resolve conflicting stakeholder requirements to ensure smooth and effective data integration; Coach business and IT teams on best practices related to data governance, data quality, and integration; Proactively identify opportunities to leverage data to enhance business capabilities and generate competitive advantage. What we offer: Direct cooperation with the already successful and growing project; Truly competitive salary; Help and support from our caring HR team. Originally posted on Himalayas