Data Architect

Artifacts for each project include the business context diagram, process overview, data flow diagram, data model overview, data and content architecture, data pipeline design and integration architecture. Roles and Responsibilities: Partner with Product teams, Technology Services and other architects to design scalable, flexible and supportable technical systems that drive business value in support of Regulatory Strategy and Intelligence.

Mandatory Skills :
Snowflakes, RDBMS, ETL, AWS Architecture and Completed Cloud Knowledge.
Must have working experience in Pharma industry

Roles and Responsibilities:

• Partner with Product teams, Technology Services and other architects to design scalable, flexible and supportable technical systems that drive business value in support of Regulatory Strategy and Intelligence
• Develop architecture artifacts in collaboration with business and JJT product owners, lead engineers, platform owners, R&D Architecture, Information Security, Quality and Technology Services stakeholders.
• Artifacts for each project include the business context diagram, process overview, data flow diagram, data model overview, data and content architecture, data pipeline design and integration architecture
• Responsible for architecture alignment to Regulatory, Enterprise and R&D technology strategies, patterns, and standards
• Enable business at scale through simplification of the application landscape, system integration and intelligent automation.
• Capture architecture and design information and decisions using client-standard tools (Lean IX, SAXpress, Asset Management, Draw-IO, AMT, Confluence, MS Teams)

Experience and Skills Required:

• Knowledge of Regulatory data, content and terminology used in pharmaceutical development
• 5 years of experience working with structured RDBMS, Snowflakes and content management platforms
• 5+ years of experience as a Data Architect in pharmaceutical development
• 5+ years of experience in integration design and operationalization (REST APIs, Kafka, ETL, data pipeline design, API gateways, data streaming)
• Experience architecting regulated systems (GxP, HPIAA, GDPR, etc)
• Knowledge and skills in compute, networking, storage, database, and AWS machine learning services as well as AWS deployment and management services.
• Experience leading technical conversations, workshops and works to remove ambiguity, drive consensus and reach decisions across stakeholders
• Proven ability to understand and articulate business requirements, direction, and initiatives.
• Experience surfacing technical requirements and building IT product roadmaps

Education:

• BA/BS degree in a technical, engineering or scientific field
• AWS-Certified Solutions Architect certification required
• AWS Well-Architected Framework certification desirable
• AWS Certified Machine Learning Specialty certification desirable