Cloud Data Architect

Ridgefield, Connecticut — Full-Time | Hybrid

The Cloud Data Architect will lead the design, implementation, and management of scalable cloud-based data solutions to support the company’s commercial and medical data analytics initiatives. This role plays a critical part in the development and governance of enterprise data architectures that power analytics, AI, and digital products.

The ideal candidate has strong experience in AWS-based cloud data platforms
, semantic data modeling
, and data pipeline optimization
, with specific exposure to pharmaceutical commercial data domains
.

• Design and implement efficient, scalable, and secure Cloud Data Architecture on AWS.
• Develop logical and physical data models and database designs to support enterprise data strategy.
• Collaborate with cross‑functional teams to translate business data needs into technical architecture.
• Partner with Data Domain Owners to establish Data Governance and Data Sharing Terms policies.
• Optimize database performance, ensuring data quality, availability, and reliability.
• Lead data modernization initiatives and migrate legacy systems to cloud‑based environments.
• Build and maintain data pipelines for ingestion, transformation, and analytics enablement (structured and unstructured data).
• Develop and implement semantic data models, knowledge graphs, and AI‑driven data frameworks (e.g., NLP, recommendations, predictive analytics).
• Stay current on cloud computing, data architecture, and analytics trends; evaluate and recommend emerging technologies.
• Provide technical mentorship to developers, engineers, and analysts within the data organization.

• Education:
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
  • In lieu of degree: 10+ years of relevant IT experience.
• Experience:
  • 7+ years in data architecture, data management, or business intelligence, with at least 5+ years of hands‑on cloud (AWS) experience.
  • Proven track record of leading large‑scale cloud modernization or data migration projects.
  • At least 5 years of pharma industry experience, preferably in commercial data domains.
  • Experience in data governance, ETL design, and data pipeline optimization.
• Technical Expertise:
  • AWS Cloud Services (S3, Glue, Redshift, Lambda, IAM)
  • Snowflake, Apache Parquet, DBT, Snap Logic, SQL/No
    
    SQL
  • Data modeling, data lake architecture, and metadata management
  • Knowledge Graphs, ontologies, and AI‑driven semantic data modeling
• Soft Skills:
  • Strong analytical, problem‑solving, and collaboration skills.
  • Excellent written and verbal communication.
  • Ability to explain and defend architectural decisions.

• Certifications:
  
  AWS Certified Solutions Architect preferred.
• Experience:
  
  GxP processes, Innovator platform, or similar life sciences data systems.
• Methodologies:
  Familiarity with Agile/Scrum delivery models.
• Leadership:
  Ability to guide technical discussions and mentor junior engineers.