Senior Data Application Engineer – Enterprise Data Management

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 168,000 - 264,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsSkills: ["Stakeholder management","Presenting technical concepts","Product management","Cross-functional collaboration"]

Own the product vision and architecture for NVIDIA’s Enterprise Data Management data integrity and observability platform. Build modular, reusable frameworks for data quality, governance, lineage, and self-healing pipelines, including AI-powered agentic observability capabilities. Lead delivery end-to-end from requirements through deployment and adoption, partnering across engineering, data, and business teams, with deep grounding in high-tech supply chain data domains.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
4 days ago

Senior Data Application Engineer – Enterprise Data Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own the product vision and architecture for NVIDIA’s Enterprise Data Management data integrity and observability platform. Build modular, reusable frameworks for data quality, governance, lineage, and self-healing pipelines, including AI-powered agentic observability capabilities. Lead delivery end-to-end from requirements through deployment and adoption, partnering across engineering, data, and business teams, with deep grounding in high-tech supply chain data domains.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Drive the end-to-end product vision and roadmap for data observability, aligning with business partners from inception through execution.
  • •Design a reusable architecture and modular frameworks for an EDM data observability platform, addressing common data quality and integrity challenges across domains.
  • •Design and operationalize AI-powered agentic observability capabilities, including orchestration layers, tool-use patterns, anomaly detection/triage, and proactive surfacing of issues.
  • •Own delivery from requirements through deployment, defining monitoring and alert ranking by business impact and ensuring adoption at scale.
  • •Ground observability and agentic decisions in high-tech supply chain business processes and build data specifications, governance artifacts, and lineage maps.

Pay and Benefits

Salary: USD 168,000 - 264,500 annually
Equity and Bonus:Equity

Key Requirements

  • •10+ years of experience in data and product management, deploying enterprise-grade AI or data solutions at scale in complex enterprise environments.
  • •Experience building and owning knowledge frameworks for AI agent deployment, including data specifications, business glossaries, governance policies, lineage, and process flows.
  • •Working knowledge of enterprise data platforms including Databricks (Delta Lake, PySpark), Palantir, Informatica, and ETL/ELT pipeline patterns.
  • •Familiarity with agentic AI workflows (LLM-based agents, RAG, orchestration frameworks) deployed in production for data quality, self-healing, or observability use cases.
  • •Strong foundation in master data management, data quality, and governance, including integrating data platforms with ERP solutions, data lakes, enterprise applications, and document repositories.
Experience:10+ yearsEnterprise data platformsAgentic AIData governanceData qualitySupply chain
Education:
Skills:Stakeholder managementPresenting technical conceptsProduct managementCross-functional collaboration
Tech Stack:DatabricksDelta LakePySparkPalantirInformaticaETLELTLLMPrompt engineeringRAGOrchestration frameworksCI/CDJiraJenkinsGitSQLPythonReactAngularNodeJs

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
WebsiteLinkedInGlassdoor