About the position IQVIA Digital powers exceptional brand experiences, delivering innovative solutions based on a customer-first, insights-driven, and integrated omnichannel vision. We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose healthcare technology, and the expertise to enable an effective and adaptable marketing model that drives better quality of care and patient outcomes. IQVIA is the leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry. Learn more at www.iqviadigital.com You’ll be joining IQVIA’s newly formed Data Architecture and Governance team within the Digital Solutions group. This team is focused on modernizing legacy platforms into scalable, cloud-native solutions that support digital marketing campaigns and healthcare provider engagement. The team collaborates globally, with developers in India and leadership in the U.S., offering a dynamic and innovative environment. We’re seeking a hands-on Senior Data Engineer to lead development efforts and contribute to architectural decisions for our next-generation data platform. You’ll design and optimize ETL/ELT pipelines, work with Snowflake and AWS technologies, and ensure high data quality across healthcare datasets. This role is ideal for someone ready to take ownership, collaborate across time zones, and grow toward architectural leadership.

Responsibilities

• Design and develop scalable ETL/ELT solutions and data architectures (data lakes, data warehouses).
• Optimize Snowflake queries and implement data governance best practices.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Build APIs and integrate with email service providers and HCP data sources.
• Lead development efforts and coordinate with offshore teams.
• Conduct code reviews and ensure adherence to coding standards.
• Support CI/CD processes using tools like Terraform and Airflow.
• Maintain high standards of data quality and integrity across healthcare datasets.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years of experience in data engineering or similar role.
• Strong proficiency in SQL and query optimization.
• 5+ years of experience with Snowflake and cloud platforms (AWS preferred; Azure/GCP a plus).
• 3+ years of experience in Python or Java.
• Experience with data pipeline tools (e.g., Apache Airflow, dbt, Kafka, Spark).
• Solid understanding of data modeling, warehousing, and distributed systems.
• Familiarity with CI/CD tools and infrastructure-as-code (e.g., Terraform).
• Hands‑on experience leveraging AI/ML frameworks within large-scale data systems.

Nice-to-haves

• Experience with modern analytics databases (e.g., Redshift, BigQuery).
• Exposure to microservices architecture.
• Prior involvement in architecture design or leading development projects.