This role pays more than
84%
of similar roles. Most pay
$126,800–$203,150
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$165k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
892 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 870 roles with salary data.
The Data Application Engineer, Enterprise Data Management joins the Business Applications group to develop and manage enterprise data platforms and global business workflows. This role involves building and maintaining data pipelines, APIs, and agent integrations for planning tools while architecting Master Data Management and Reference Data Management solutions for material masters, BOMs, and supplier data. The engineer will create data governance capabilities, including catalogs and lineage tracking, and develop an AI-enabled observability layer to monitor data quality. Key technologies include Informatica Intelligent Data Management Cloud, Databricks lakehouse architecture using Spark and PySpark, and integration with SAP S/4HANA and PLM systems. The role focuses on the semiconductor chip supply chain, addressing complex problems in manufacturing data, production versions, and integrating agentic AI workflows into data applications to ensure high-quality information across the supply network.
Databricks
PySpark
SQL
Delta Lake
SAP S/4HANA
SAP ECC
Unity Catalog
Immuta
Apache Spark
CI/CD
Git
SAP Datasphere
SAP BW
CDS Views
ODP/ODQ
SLT
BODS
OData
Tableau
Power BI
Alteryx
Dataiku