Data Engineering Lead, Enterprise Data & Governance

Novartis

Schweiz

Hybrid

CHF 124.000 - 230.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Novartis is seeking an Associate Director, Data Engineering to shape how enterprise data is engineered, governed, and delivered across the organization. The role sits at the intersection of data platforms, governance, and innovation, establishing standards, controls, and engineering capabilities for reliable, compliant data products.

You will drive DataOps practices, accelerate data-driven decision making, and influence enterprise-wide data strategy while collaborating with governance, privacy,

Qualifikationen

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Management, Engineering, Analytics, or a related field.
  • 5+ years of experience in data engineering, data governance, data architecture, data product management, or enterprise data platform delivery.
  • Experience designing, building, or governing enterprise data pipelines, data products, data platforms, or data integration capabilities.
  • Direct experience with data contracts, schema validation, data pipeline monitoring, data observability, or data product certification.
  • Experience working in complex enterprise environments with multiple data producers, consumers, vendors, platforms, and governance stakeholders.

Aufgaben

  • Define and enforce enterprise standards for data engineering, pipeline reliability, and production controls.
  • Design and oversee scalable, governed data pipelines supporting critical business and data domains.
  • Lead the enterprise data contract lifecycle, including review, approval, governance, and enforcement.
  • Implement data observability capabilities across monitoring, anomaly detection, service levels, and operational alerting.
  • Establish controls that ensure critical data elements remain traceable, validated, and protected.
  • Develop safeguards that prevent incomplete, inaccurate, or non-compliant data from reaching downstream systems.
  • Partner with data modeling teams to align engineering implementation with approved enterprise data models.
  • Collaborate across governance, privacy, architecture, and platform teams to enable compliant data delivery.
  • Drive automation for deployment, validation, metadata capture, lineage generation, testing, and reporting.
  • Monitor operational performance and lead resolution of pipeline, contract, and data reliability issues.

Kenntnisse

Data engineering
Data governance
Data architecture
Data product management
Enterprise data platform delivery
Data contracts
Schema validation
Data pipeline monitoring
Data observability
Stakeholder collaboration

Ausbildung

Bachelor's degree in Computer Science/IS/Data Engineering/Data Management/Engineering/Analytics

Jobbeschreibung

Novartis is seeking an Associate Director, Data Engineering to shape how enterprise data is engineered, governed, and delivered across the organization. The role sits at the intersection of data platforms, governance, and innovation, establishing standards, controls, and engineering capabilities for reliable, compliant data products.

You will drive DataOps practices, accelerate data-driven decision making, and influence enterprise-wide data strategy while collaborating with governance, privacy,

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