What are the responsibilities and job description for the Cloud Data Architect position at Veracity Software Inc?
Ridgefield, Connecticut
Work Type: 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.
Key Responsibilities
Work Type: 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.
Key Responsibilities
- 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, SnapLogic, SQL/NoSQL
- 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.