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

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Databricks-Developer--SAP-S-4-Data-Products-and-Governance_JR2020029?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_91241ae6-8b9

## Description

NVIDIA is 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.

**Job Overview**

As a Senior Databricks Developer, you will design, build, and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, notebooks, and workflows. You will develop SAP S/4HANA and ECC datasets across various domains, including finance, supply chain, procurement, order management, inventory, manufacturing, customer, supplier, and master data.

**Key Responsibilities**

- 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 various 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.

- Assess and apply SAP data extraction technologies 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.

**Requirements**

- 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.

- 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.

- 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.

**Nice to Have**

- 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.

## Skills

### Required
- Databricks
- PySpark
- SQL
- Delta Lake
- Unity Catalog
- Immuta
- SAP S/4HANA
- ECC
- Apache Spark
- Data Engineering
- Analytics Engineering
- BI Engineering

### Nice to have
- SAP Business Data Cloud
- SAP Datasphere
- SAP BW
- SAP SLT
- ODP/ODQ
- CDS views
- BODS
- SAP APIs/OData
- Tableau
- Power BI
- Alteryx
- Dataiku

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Databricks-Developer--SAP-S-4-Data-Products-and-Governance_JR2020029?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)