Director of Data Integration & AI Pipelines

Pfizer Belgium; Columbia (SC); Hybrid; USD 177,000 - 294,000; Full time

Job summary

Pfizer is seeking a Data Integration Engineer to own design, build, and operation of data pipelines linking Medical Affairs AI solutions to enterprise data sources. You will serve as the hands-on data engineering expert within Engineering, ensuring well-governed data access for AI capabilities.

You will partner with Architecture, Product Management, and Build Engineers to implement data integration standards, RAG patterns, and AI data delivery best practices across regulated environments.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics or related field.
• 8+ years of hands‑on data engineering or application integration experience.
• Advanced proficiency in SQL and ETL/ELT pipelines.
• Experience with modern data platforms (Snowflake) and data governance.
• Experience with API design and integration patterns (REST/GraphQL).
• Experience with RAG pipelines, vector databases or AI data access patterns.

Responsibilities

• Design and build data pipelines and integration patterns aligning with enterprise data sources.
• Build and maintain data pipelines for AI solutions, prioritizing reuse.
• Monitor data pipeline latency to meet timeliness thresholds.
• Collaborate to implement RAG, vector databases, and graph retrieval patterns.
• Ensure data governance and privacy compliance across pipelines.

Skills

SQL

ETL/ELT pipelines

API design

Data integration

CI/CD

Agile

Data governance

GraphRAG

Education

Bachelor's degree in Computer Science, Data Analytics or related field

Tools

Snowflake

Graph databases

Veeva CRM

Salesforce Life Sciences

Job description

Pfizer is seeking a Data Integration Engineer to own design, build, and operation of data pipelines linking Medical Affairs AI solutions to enterprise data sources. You will serve as the hands-on data engineering expert within Engineering, ensuring well-governed data access for AI capabilities.

You will partner with Architecture, Product Management, and Build Engineers to implement data integration standards, RAG patterns, and AI data delivery best practices across regulated environments.