NVIDIA Corporation

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

NVIDIA Corporation$184K — $287K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years 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.
  • Strong practical experience with Databricks, Apache Spark/PySpark, SQL, and Delta Lake.
  • Proven experience with SAP S/4HANA or SAP ECC datasets and extraction methods.
  • Deep understanding of SAP business processes in finance, supply chain, procurement, or manufacturing.
  • Hands-on experience with Unity Catalog for data governance.
  • Experience implementing data quality and performance optimization for enterprise datasets.

Responsibilities

  • Design and maintain scalable Databricks pipelines using modern engineering patterns.
  • Develop comprehensive SAP S/4HANA and ECC datasets across various business domains.
  • Translate business processes into trusted data assets for analytics and reporting.
  • Implement data quality, reconciliation, validation, and production support practices.
  • Collaborate with cross-functional teams to deliver well-documented data products.
  • Manage data governance with Unity Catalog and Immuta.
  • Assess SAP data extraction technologies for efficient data ingestion.

Benefits

  • Equity participation in the company's growth.
  • Comprehensive health benefits package.
  • Opportunities for continuous learning and professional development.
  • Flexible work arrangements to promote work-life balance.
Full Job Description
We are seeking a Senior Databricks Developer, SAP S/4 Data Products & Governance, to help build the future of AI/ML and Enterprise data products. You will turn complex SAP S/4HANA data into useful insights and promote innovation.

What you'll be doing:
  • Design, build, and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, notebooks, and workflows, applying reusable engineering patterns and performance best practices.
  • Develop SAP S/4HANA and ECC datasets across bronze, silver, and gold layers, covering finance, supply chain, procurement, order management, inventory, manufacturing, customer, supplier, and master data domains.
  • Translate SAP business processes into trusted facts, dimensions, metrics, measures, and reusable semantic data assets that support analytics, reporting, AI/ML, and governed self-service.
  • Implement robust data quality, reconciliation, validation, lineage, observability, and production support practices to ensure 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 manage catalogs, schemas, tables, views, permissions, tags, comments, lineage, ownership, and fine-grained access controls (row filters, masking, policy enforcement, auditing) in line 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 design efficient, reliable ingestion patterns.
  • Mentor data engineers and analysts, and build reusable templates, patterns, and documentation to onboard new SAP domains and raise 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.
  • Strong practical experience with Databricks, Apache Spark/PySpark, SQL, Delta Lake, and building production-grade 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.
  • Deep understanding of SAP business processes and data frameworks in one or more areas such as finance, supply chain, procurement, sales, inventory, manufacturing, or master data.
  • Hands-on experience with Unity Catalog for permissions, catalogs, schemas, tables, views, tags, comments, lineage, and data discovery in a governed 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 implementing data quality, reconciliation, testing, monitoring, and performance optimization for large-scale, enterprise datasets.
  • Demonstrated ability to mentor other developers and improve the team's engineering practices, code quality, and production readiness.
  • Strong interpersonal and communication skills for collaborating with both technical teams and business stakeholders.


Ways to stand out from the crowd:
  • Hands-on experience with SAP Business Data Cloud, SAP Datasphere, SAP BW, SAP SLT, ODP/ODQ, CDS views, BODS, or SAP APIs/OData for advanced 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 product-oriented delivery.
  • Experience with modern analytics and BI tools such as Tableau, Power BI, Alteryx, Dataiku, or similar platforms.
  • Strong foundation in CI/CD, Git, Databricks Asset Bundles (or equivalent 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 July 13, 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
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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