What you'll be doing:

• Take charge of the Data & Integration Engineering department, crafting and guiding platforms and services that facilitate data-informed decision-making throughout NVIDIA.
• Architect and operate enterprise data lakes, data warehouses, and data platforms that power analytics, AI training, and inference.
• Define and deliver end-to-end data pipelines—from ingestion and curation to analytics and visualization.
• Build enterprise Power BI and self-service analytics capabilities, ensuring employees and leaders have timely, accurate, and actionable insights.
• Establish data integration frameworks that connect enterprise systems, AI models, and B2B ecosystems (partners, suppliers, customers).
• Ensure secure, governed, and compliant data exchange with external entities to support business operations, supply chain, and partner collaboration.
• Encourage the adoption of AI and ML in data engineering and integration, encompassing intelligent transformations, anomaly detection, and predictive insights.
• Drive the architecture of event-driven integrations (e.g., APIs, Kafka, service mesh) to support real-time business workflows.
• Collaborate with business collaborators to speed up time-to-insight and unlock value from enterprise data for both internal and B2B use cases.
• Recruit, mentor, and grow a distributed team of engineers passionate about data platforms, APIs, integration, and BI/analytics.

What we need to see:

• 15 or more overall years of expertise in data engineering, integration, or distributed systems, including a minimum of 5 years in a senior management role.
• BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).
• Demonstrated achievement in crafting and operating large-scale data platforms for enterprises, encompassing data lakes, warehouses, Lakehouse, and cloud-native data ecosystems.
• Strong technical background in integration technologies (e.g., Kafka, event streaming, API gateways, service mesh, iPaaS).
• Experience leading data governance, metadata management, and observability initiatives.
• Solid understanding of cloud platforms (AWS, GCP, Azure) and modern data stacks.
• Familiarity with AI/ML pipelines, model training, deployment, and serving.
• Ability to translate business priorities into data and integration strategies.
• Strong leadership, communication, and cross-functional collaboration skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative and autonomous, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 268,000 USD - 408,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.