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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