Senior Data Engineering & Platform Lead

Novartis; United States; Remote; USD 153,000 - 283,000; Full time

Job summary

Novartis is seeking an Associate Director, Data Engineering in East Hanover, NJ to shape enterprise data engineering, governance, and delivery. The role blends data platforms, governance, and innovation to establish standards and engineering capabilities for high-quality data products.

This position emphasizes DataOps, automation, and collaboration with governance, privacy, architecture, and platform teams to enable compliant data delivery and trusted decision making.

Qualifications

• Bachelor's degree in CS, IS, data engineering, analytics, or related field.
• 5+ years in data engineering, governance, architecture, or enterprise data platform delivery.
• Experience with enterprise data pipelines, data products, platforms, or integration.

Responsibilities

• Define and enforce enterprise data engineering standards.
• Design scalable, governed data pipelines across domains.
• Lead the enterprise data contract lifecycle, including governance and enforcement.
• Implement data observability across monitoring, anomaly detection, SLAs, and alerts.
• Establish controls for traceability, validation, and protection of data.
• Develop safeguards to prevent incomplete or non-compliant data reaching downstream systems.
• Partner with data modeling teams to align engineering with enterprise models.
• Collaborate across governance, privacy, architecture, and platform teams.
• Drive automation for deployment, validation, metadata capture, lineage, testing, and reporting.
• Monitor performance and resolve data pipeline and contract issues.

Skills

Data engineering

Data governance

Data architecture

Data products

Data contracts

Stakeholder engagement

Education

Bachelor's degree in Computer Science / related field

Advanced degree (MS/PhD)

Job description

Novartis is seeking an Associate Director, Data Engineering in East Hanover, NJ to shape enterprise data engineering, governance, and delivery. The role blends data platforms, governance, and innovation to establish standards and engineering capabilities for high-quality data products.

This position emphasizes DataOps, automation, and collaboration with governance, privacy, architecture, and platform teams to enable compliant data delivery and trusted decision making.