NVIDIA Corporation

Senior Databricks Developer, SAP S/4 Data Products and Governance

NVIDIA Corporation • $184K — $287K *
Santa Clara, CA 95051In-Person
Information Technology
11 - 15 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 12+ years of experience in data engineering, analytics engineering, BI engineering, or enterprise data platform development.
  • Bachelor's or Master's degree in Information Systems, Computer Science, or Business.
  • Hands-on experience with Databricks, Apache Spark/PySpark, SQL, and Delta Lake.
  • Proven experience modeling datasets from SAP S/4HANA or SAP ECC.
  • Comprehensive knowledge of SAP business procedures and data structures in finance, supply chain, or manufacturing.
  • Practical experience with Unity Catalog for managing data access and governance.
  • Working knowledge of Immuta or similar platforms for governed data access.

Responsibilities

  • Compose, build, and maintain scalable Databricks pipelines using PySpark and SQL.
  • Build SAP S/4HANA datasets across various data layers including finance and supply chain.
  • Convert SAP business processes into reliable data assets for analytics and reporting.
  • Implement data quality and validation measures for business-ready datasets.
  • Collaborate with SAP experts and data scientists to deliver trusted data products.
  • Use Unity Catalog and Immuta for managing data governance and access controls.
  • Assess SAP data extraction technologies to build efficient ingestion patterns.

Benefits

  • Equity participation in the company.
  • Comprehensive benefits package.
  • Opportunities for professional development and growth.
  • Inclusive company culture that values innovation.
Full Job Description
As a Senior Databricks Developer, SAP S/4 Data Products and Governance, you will play a key role in enhancing our SAP S/4HANA data capabilities and advancing innovation in data products and governance. This is an outstanding chance to create a significant impact in a company known for its groundbreaking technology and inclusive culture.

What you'll be doing:
  • Compose, build, and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, notebooks, and workflows, following reusable engineering patterns and performance guidelines.
  • Build SAP S/4HANA and ECC datasets across bronze, silver, and gold layers, encompassing finance, supply chain, procurement, order management, inventory, manufacturing, customer, supplier, and master data domains.
  • Convert SAP business processes into reliable facts, dimensions, metrics, measures, and reusable semantic data assets that aid analytics, reporting, AI/ML, and governed self-service.
  • Implement strong data quality, reconciliation, validation, lineage, observability, and production support measures to guarantee reliable, business-ready datasets.
  • Work closely with SAP functional experts, business systems analysts, data architects, BI developers, and data scientists to understand source logic and deliver well-documented, trusted data products.
  • Use Unity Catalog and Immuta to handle catalogs, schemas, tables, views, permissions, tags, comments, lineage, ownership, and specific access controls (row filters, masking, policy enforcement, auditing) consistent with governance standards.
  • Assess and apply SAP data extraction technologies (CDS views, ODP/ODQ, SLT, SAP Datasphere, SAP BW extractors, BODS, APIs/OData, replication flows, SAP Business Data Cloud) to build efficient, reliable ingestion patterns.
  • Advise data engineers and analysts, and produce reusable templates, patterns, and documentation to onboard new SAP domains and elevate the team's overall engineering maturity.


What we need to see:
  • 12+ years of experience in data engineering, analytics engineering, BI engineering, or enterprise data platform development.
  • Bachelor's or Master's degree (or equivalent experience) in Information Systems, Computer Science, or Business.
  • Solid hands-on experience with Databricks, Apache Spark/PySpark, SQL, Delta Lake, and constructing production-level data pipelines.
  • Proven experience modeling and building curated datasets from SAP S/4HANA or SAP ECC, with solid knowledge of SAP data structures and extraction methods.
  • Comprehensive knowledge of SAP business procedures and data structures in one or more domains such as finance, supply chain, procurement, sales, inventory, manufacturing, or master data.
  • Practical experience with Unity Catalog managing permissions, catalogs, schemas, tables, views, tags, comments, lineage, and data discovery within a regulated environment.
  • Working knowledge of Immuta or similar governed data access platforms, including policy-based controls, masking, row-level security, user attributes, groups, and auditing.
  • Experience applying data quality, reconciliation, testing, monitoring, and performance optimization for large-scale, enterprise datasets.
  • Established track record of supporting other developers and advancing the team's engineering approaches, code quality, and production readiness.
  • Strong interpersonal and communication skills for collaborating with both technical teams and business collaborators.


Ways to stand out from the crowd:
  • Practical experience working with SAP Business Data Cloud, SAP Datasphere, SAP BW, SAP SLT, ODP/ODQ, CDS views, BODS, or SAP APIs/OData for sophisticated data integration and extraction.
  • Track record of preparing SAP datasets for AI/ML, forecasting, anomaly detection, feature engineering, GenAI/RAG, and self-service analytics and dashboards.
  • Familiarity with semantic modeling, metric views, certified datasets, business glossaries, and data-focused delivery.
  • Experience with modern analytics and BI tools such as Tableau, Power BI, Alteryx, Dataiku, or similar platforms.
  • Solid background in CI/CD, Git, Databricks Asset Bundles (or a comparable workflow orchestration), automated deployment, data privacy, least-privilege access, sensitive data classification, and enterprise data governance.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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