Senior Cloud Architect (Data Modeling)

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

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