What are the responsibilities and job description for the Data Architect position at McKinsol Consulting Inc?
Job Details
Roles and Responsibilities:
- Partner with Product teams, JNJ 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, RD Architecture, Information Security, Quality and Technology Services stakeholders.
- Artifacts for each project include the business context diagram, process overview, data flow diagram, application architecture, data model overview, integration architecture, infrastructure architecture and ML and ML Ops architectures.
- Responsible for architecture alignment to Regulatory, Enterprise and RD technology strategies, patterns and standards
- Ensure Product roadmaps align to Regulatory strategy, established architectural principles and patterns, and enterprise ALM TLM requirements.
- Enable business at scale through simplification of the application landscape, system integration and intelligent automation.
- Capture architecture and design information and decisions using JJ-standard tools (Lean IX, SAXpress, Asset Management, Draw-IO, AMT, Confluence, MS Teams)
Education/Certification:
- 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
Experience and Skills: Required:
- Knowledge of Regulatory data, content and terminology used in Pharmaceutical development
- 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)
- 5 years of experience working with structured RDBMS and content management platforms
- Experience architecting regulated systems (GxP, HIPAA, GDPR, etc)
- 2-3 years of experience architecting digital automation solutions using BPM, RPA, NLP and ML
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
