Senior Data Engineer, Marketing Data Platform

NVIDIA Corporation; Texas; On-site; USD 168,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA's Digital Marketing Operations team seeks a Senior Data Engineer to build scalable data infrastructure powering customer engagement, campaign intelligence, and analytics. You will own data domains, shape architectures, and lead cross-functional initiatives across engineering, marketing, and operations.

Expect hands-on work with batch and streaming pipelines, cloud data warehouses, and data governance.

Qualifications

• 8+ years designing and operating production data pipelines and platforms.
• End-to-end ownership of multi-pipeline domains or cross-team initiatives.
• Strong Python and a modern language (Java or Go) with solid SQL skills.
• Hands-on with Spark and cloud-managed ETL; familiar with Airflow.
• Experience with cloud data warehouses, object storage, and Iceberg.
• Data lake/lakehouse architectures, governance, privacy, and reliability.

Responsibilities

• Own a key data domain inside Digital Marketing Operations and shape its architecture.
• Lead cross-functional initiatives across engineering, marketing, and operations.
• Architect and evolve batch and streaming pipelines ingesting diverse data types.
• Build shared data quality frameworks and improve pipeline reliability.
• Lead production incident investigations and drive preventive improvements.
• Embed privacy by design with GDPR/PIPL controls and auditable lineage.
• Establish robust data models and serving interfaces for marketing consumers.
• Provide technical leadership with architecture reviews and mentoring.

Skills

Python

Java

Golang

SQL

NoSQL

Apache Spark

Airflow

Cloud data platforms

Iceberg

Data governance

Education

Bachelor's degree

Master's degree

Tools

Spark ecosystem

ETL tools

Distributed systems

Job description

NVIDIA's Digital Marketing Operations team seeks a Senior Data Engineer to build scalable data infrastructure powering customer engagement, campaign intelligence, and analytics. You will own data domains, shape architectures, and lead cross-functional initiatives across engineering, marketing, and operations.

Expect hands-on work with batch and streaming pipelines, cloud data warehouses, and data governance.