5 липня 2024
Data Architect with Pharma experience (part-time) за кордоном Binariks is looking for an experienced Data Architect with Pharma experience (part-time) who will be a part of our Solution Group. Your Responsibilities Designing end-to-end data architectures from scratch that support application and data platforms Creating marketing decks (Preclinical/Clinical phases) Playing the key technical role in the creation of solution architecture and end-to-end project scope Str
5 липня 2024
Data Architect with Pharma experience (part-time)
за кордоном
Binariks is looking for an experienced Data Architect with Pharma experience (part-time) who will be a part of our Solution Group.
Your Responsibilities - Designing end-to-end data architectures from scratch that support application and data platforms
- Creating marketing decks (Preclinical/Clinical phases)
- Playing the key technical role in the creation of solution architecture and end-to-end project scope
- Structuring and conducting conversations with client stakeholders to understand business needs and requirements, perform audits of client systems, elicit business requirements for system architecture
- Taking part in pre-sales, and discovery phases in projects
- Be a core team player in the Solution group of Binariks
- Communicating requirements and specifications to a project team, guiding the team during the implementation stage, controlling and reviewing processes and code
What We’re Looking For
- 5+ years of hands-on development experience in data engineering
- Experience in the Pharma domain is mandatory
- Strong background in designing cloud data lakes/data warehouses, emphasizing deployability, releasability, and testability
- Strong problem-solving skills and adaptability to changes
- DataOps mindset, promoting adaptable architecture while meeting user needs
- Able to work autonomously and always has a vision of the big picture
- Excellent verbal and written communication skills in English and ability to work in both international and multifunctional teams
Will be a plus:
- Experience with FAIR data principles