Data Application Engineer, Enterprise Data Management

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 168,000 - 310,500 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Data governance","Data stewardship","Hands-on problem-solving","Cross-functional collaboration","Data quality focus"]

Design and engineer enterprise master and reference data management solutions for supply chain planning, partnering with business and IT teams to turn complex semiconductor requirements into governed, scalable data platforms. Build and maintain data pipelines, APIs, integrations, and MDM/RDM capabilities across systems such as SAP and PLM tools. Create data governance, lineage, observability, and AI-enabled agent workflows for monitoring and self-healing data quality across domains.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Data Application Engineer, Enterprise Data Management

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Job Summary

Design and engineer enterprise master and reference data management solutions for supply chain planning, partnering with business and IT teams to turn complex semiconductor requirements into governed, scalable data platforms. Build and maintain data pipelines, APIs, integrations, and MDM/RDM capabilities across systems such as SAP and PLM tools. Create data governance, lineage, observability, and AI-enabled agent workflows for monitoring and self-healing data quality across domains.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop understanding of chip supply chain and planning master data (BOM, Routing, Production Version) and related ontology/knowledge graph structures for agentic AI EDM projects.
  • •Develop, test, and maintain data pipelines, APIs, and agent integrations for PDMT and planning data solutions supporting supply chain functions.
  • •Architect and implement enterprise MDM and RDM solutions for material master, BOM, customer/supplier, and reference data across the supply chain.
  • •Design and implement data integration and pipeline architectures (real-time, batch, web-based, event-based) for manufacturing and supply chain datasets at scale.
  • •Lead governance and observability capabilities, including business glossaries, data catalogs, lineage tracking, stewardship frameworks, and AI-enabled data observability agents for monitoring and self-healing data.

Pay and Benefits

Salary: USD 168,000 - 310,500 annually
Equity and Bonus:Equity

Key Requirements

  • •More than 8 years of experience in enterprise data architecture and engineering, including MDM/RDM and scalable data platforms, ideally in supply chain or semiconductor manufacturing environments.
  • •Hands-on experience building enterprise data solutions, including data pipelines, ETL/ELT architectures, API integrations, microservices, and event-driven patterns.
  • •Deep expertise with Informatica Intelligent Data Management Cloud (IDMC), including MDM/CDI/CAI/CDGC/IDQ and metadata/data catalog capabilities.
  • •Strong Databricks lakehouse experience with Spark, PySpark, and Delta Lake, plus pipeline frameworks supporting governance, quality, and stewardship.
  • •Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Industrial Engineering, or equivalent experience; supply chain/manufacturing domain knowledge and agentic AI workflows (LLM agents, RAG, orchestration).
Experience:Supply chainSemiconductor manufacturingEnterprise data managementData governanceSAPLakehouseAgentic AI
Education:Bachelor's in Computer Science, Information Systems, Data Engineering, Industrial Engineering
Skills:Data governanceData stewardshipHands-on problem-solvingCross-functional collaborationData quality focus
Tech Stack:Informatica Intelligent Data Management Cloud (IDMC)MDMCDICAICDGCIDQReference 360Metadata ManagementData CatalogDatabricksSparkPySparkDelta LakeETL/ELTAPIsMicroservicesEvent-driven data patternsSAP S/4HANASAP MDGSAP IBP

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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