Data Architect in the Pharma & R&D Environment

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2

Skills

Business Analysis
Business Analytics
Collaboration
Data Analysis
Data Architecture
Data Dictionary
Data Governance
Data Integration
Data Quality
Data-flow Diagrams
Decision-making
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Master Data Management
Microsoft Azure
Reference Data
Research and Development
Snow Flake Schema
Specification Gathering

Job Details

Data Architect, Regulatory Strategy

Our client is seeking an experienced Data Architect to support our Regulatory Strategy portfolio of products.

Roles and Responsibilities:

  • Partner with Regulatory subject matter experts, development partners product technical owners and engineers, 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, Innovative Medicine and 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
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