Head of AI-Powered Data Integration Pipelines

Jobtailor; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Pfizer seeks an experienced Data Integration Engineer to own end‑to‑end data pipelines for the Medical Affairs AI Acceleration portfolio. You will design patterns connecting enterprise systems to AI analytics platforms and maintain reusable ETL/ELT flows across solutions.

You will enforce coding standards, monitor latency, and implement AI data access patterns like GraphRAG and vector databases while ensuring data governance, privacy, and regulatory compliance on GDPR/HIPAA/GxP standards.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics, or related field.
• 8+ years of hands‑on data engineering or application integration experience.
• Experience building data pipelines and APIs connecting applications to existing data platforms.
• Advanced proficiency in SQL and hands‑on ETL/ELT pipeline development.
• Experience with modern data platforms such as Snowflake, including querying and API‑based access.
• Experience with API design and integration patterns, including REST/GraphQL, event‑driven, or streaming integration.
• Experience with AI/ML, low‑code, or no‑code data and business process automation.
• Experience supporting RAG pipelines, vector databases, or other AI/ML data access patterns.
• Solid understanding of Agile delivery and CI/CD practices.
• Experience identifying and protecting PI/PII using masking, tokenization, or de‑identification.
• Knowledge of data governance and data cataloging best practices.

Responsibilities

• Own data integration engineering for the Medical Affairs AI Acceleration portfolio.
• Design and build data pipelines and integration patterns connecting enterprise systems to AI/analytics platforms.
• Build and maintain reusable ETL/ELT pipelines across solutions.
• Establish and follow coding standards aligned with centralized data models.
• Monitor pipeline latency against timeliness thresholds.
• Implement RAG pipelines, vector databases, GraphRAG, and AI/ML data access patterns.
• Ensure data feeding AI systems is governed, labeled, and quality‑monitored.
• Apply AI/ML and low‑code/no‑code automation to accelerate delivery.
• Maintain data dictionaries, lineage documentation, and playbooks.
• Ensure GDPR, HIPAA, GxP, and Pfizer data privacy standards compliance.

Skills

SQL Proficiency

ETL/ELT

Data Pipeline Design

API Development

AI/ML Automation

GraphRAG Patterns

CI/CD

Data Governance

PII Masking

Education

Bachelor's degree in CS/Data Analytics

Tools

Snowflake

REST

GraphQL

Veeva CRM

Salesforce Life Sciences

Job description

Pfizer seeks an experienced Data Integration Engineer to own end‑to‑end data pipelines for the Medical Affairs AI Acceleration portfolio. You will design patterns connecting enterprise systems to AI analytics platforms and maintain reusable ETL/ELT flows across solutions.

You will enforce coding standards, monitor latency, and implement AI data access patterns like GraphRAG and vector databases while ensuring data governance, privacy, and regulatory compliance on GDPR/HIPAA/GxP standards.