Data Architect

Position-Data Architect Regulatory Strategy

Client-Healthcare Domain, (Client is seeking an experienced Data Architect to support our Regulatory Strategy portfolio of products.)

NO OPTExp:- 12+ Yrs (Architect Role experience is mandatory)

Roles and Responsibilities:

Partner with Regulatory subject matter experts, development partners product technical owners and engineers, CLIENT Technology Services and other architects to design scalable, extensible and supportable data architectures that drive business value in support of Regulatory Strategy and Intelligence
Develop data architecture artifacts in collaboration with key stakeholders using Clients standard tooling: Data Flow Diagrams, Entity Relationship Diagrams, Data Integration Artifacts, etc.
Responsible for architecture alignment to Regulatory, R&D, CLIENT Innovative Medicine and CLIENT Enterprise data and data platform strategies, patterns and standards.
Regularly engage with key business leaders and technical teams to create and maintain a data dictionary of master data elements, reference data elements, critical data elements and associated attributes, and non-critical elements and attributes.
Develop and maintain conceptual, logical and physical data models associated with Regulatory Strategy solutions.
Assist in development of a data governance framework that includes policies for the creation, maintenance and stewardship of master data, reference data and critical data elements.
Identify data that will need to be integrated across Regulatory solutions and its authoritative source.
Define master and reference data relationships
Collaborate with business stakeholders to gather and translate their data needs into functional and technical specifications.
Advocate for data-driven decision-making by providing insights and recommendations based on data analysis and architecture principles.
Address and resolve conflicts arising from diverse business unit requirements, ensuring smooth integration of stakeholder needs
Serve as a coach to business and IT product team partners to shape strategy through sharing expertise in data governance, data quality, and data integration practices.
Proactively identify opportunities for leveraging data as an asset to enhance business capabilities and drive competitive advantage.
Education:

BA/BS degree in a technical, engineering or scientific field
AWS Data Engineer Certification (or Azure/Google Cloud Platform equivalent)
Experience with Snowflake and Denodo preferred
AWS Well-Architected Framework certification preferred
AWS Certified Machine Learning Specialty certification preferred