Data Solution Architect

Description

The team sits within the company PT's informatics organization and works on the digital and data infrastructure behind pharmaceutical operations and data insights.

This role standardizes and improves that infrastructure, turning business needs into scalable, secure and efficient digital solutions. You will lead design, rollout and upkeep of complex digital and data architectures, bring in advanced technologies, and track emerging industry trends within PT, working closely with the informatics group.

Responsibilities

• Choose data management technologies, tools and cloud platforms that fit business requirements, performance needs and long-term sustainability, following the company Enterprise Architecture framework.
• Work with IT and the existing architecture teams to align principles and strategy with PT requirements.
• Build and promote the company's overall data modeling method, and lead the modeling of entities and relationships so they are accurately represented and integrated within the domain's data ecosystem.
• Design, build and maintain data streaming architecture and processes that support real-time processing and analytics.
• Find gaps in current systems, then scope and prioritize fixes with the team and stakeholders. Monitor data infrastructure performance continuously, locate bottlenecks and put optimization strategies in place.
• Partner with use case teams to map business requirements to technology, reusing existing the company solutions and proposing new ones where needed.
• Work with engineers and development teams to build advanced data ingestion, enrichment and access capabilities.
• Create and maintain the Solution Architecture Documents needed to qualify data products.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics or a related field, plus 5+ years in a leading data solution architect role.
• Hands-on experience with a large enterprise data warehouse or data lake, including data pipelines and ETL processes, using Snowflake and enterprise cloud platforms.
• Experience designing conceptual, logical and physical data solution architecture, and tuning data pipelines for performance and scalability.
• Working experience with Python, SQL, DevOps tools, CI/CD, data ingestion and systems integration.
• Broad knowledge of manufacturing (clinical or commercial), supply chain or regulatory affairs.
• You are open-minded and collaborative, learn from colleagues, challenge ideas constructively, and focus on work that matters. You do well in a dynamic setting, enjoy continuous learning, and act in the team's best interest.
• Interest in emerging innovations such as AI and how they can improve the patient journey.
• This is an on-site position. No relocation assistance is provided.
• The company employs more than 100,000 people worldwide, working to advance science and make healthcare accessible.

Conditions

On-site position based in the company PT's working location.

No relocation assistance is provided.

The company is an Equal Opportunity Employer.