Senior Data Engineer

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale.

Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide.

Responsibilities:

• Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams.
• Lead complex, cross-functional initiatives and collaborate across engineering, marketing, and operations stakeholders.
• Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale.
• Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams.
• Lead production incident investigations across pipelines, distributed processing, storage, and cloud services.
• Embed privacy and compliance by design across the data platform.
• Establish robust data models, semantics, ownership boundaries, and serving interfaces across teams.
• Provide technical leadership through architecture and data model reviews, hands-on mentorship of junior engineers, and evidence-based resolution of difficult tradeoffs.

Requirements:

• 8+ years of relevant industry experience with a Bachelor's or equivalent experience, and a Master's degree or equivalent in Computer Science, Engineering, or a related field.
• A sustained record of designing, implementing, and operating production data pipelines, data platforms, or distributed data systems.
• Proficiency in Python and one or more modern programming languages such as Java or Golang, with strong SQL fundamentals and the ability to write clean, testable, production-quality code.
• Deep hands-on experience with distributed data processing frameworks such as Apache Spark, and cloud-managed ETL services.
• Strong experience with cloud data platform services, including object storage, cloud data warehouses, managed transformation services, and related infrastructure.
• Experience with data lake and lakehouse architectures, including open table formats such as Apache Iceberg.
• Strong SQL and NoSQL skills and data-modeling proficiency.
• Experience building systems that move customer, behavioral, consent, campaign, or audience data across multiple platforms, with strong attention to data quality, governance, and operational reliability.
• Demonstrated skill in diagnosing production failures across distributed systems.
• Strong architectural judgment in assessing tradeoffs among reliability, performance, cost, privacy, compatibility, and maintainability.

Nice to Have:

• Experience with MarTech stacks and B2C customer data at scale, including CDP integrations, reverse ETL, identity resolution, customer 360 or profile services, audience activation pipelines, campaign metadata, tracking code management, and multi-touch attribution.
• Experience designing and operating high-throughput, fault-tolerant streaming systems at scale.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD. You will also be eligible for equity and benefits.