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

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
64 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $236k
$134k most similar roles pay here $304k

This role pays more than 75% of similar roles. Most pay $161,250–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Databricks Developer, SAP S/4 Data Products and Governance

The Senior Databricks Developer, SAP S/4 Data Products and Governance joins the team to transform complex SAP S/4HANA data into usable insights for analytics, reporting, and AI/ML applications. You will design and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, and Unity Catalog while managing governance via Immuta. The role involves developing datasets across bronze, silver, and gold layers covering domains like finance, supply chain, and manufacturing. You will translate SAP business processes into trusted facts and metrics while implementing robust data quality, lineage, and observability practices. To achieve this, you will utilize extraction technologies such as CDS views, ODP/ODQ, SLT, and SAP Datasphere. Additionally, you will mentor other engineers, build reusable templates, and establish production-grade engineering patterns to ensure high-quality, governed data products for enterprise use.

What you'll do

  • Design and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, and automated workflows.
  • Develop SAP S/4HANA and ECC datasets across bronze, silver, and gold layers for various business domains.
  • Translate complex SAP business processes into trusted facts, dimensions, metrics, and reusable semantic data assets.
  • Implement robust data quality, reconciliation, lineage, and observability practices to ensure production-ready datasets.
  • Manage data governance, permissions, and fine-grained access controls using Unity Catalog and Immuta.
  • Evaluate and implement various SAP extraction technologies including CDS views, ODP/ODQ, SLT, and SAP Datasphere.
  • Mentor data engineers and analysts while building reusable templates to improve team engineering maturity.

What we're looking for

  • Bachelor's or Master's degree in Information Systems, Computer Science, or a related field.
  • 12+ years of experience in data engineering, analytics engineering, BI engineering, or enterprise data platform development.
  • Proficiency with Databricks, Apache Spark/PySpark, SQL, and Delta Lake to build production-grade pipelines.
  • Proven experience modeling and building curated datasets from SAP S/4HANA or SAP ECC systems.
  • Deep understanding of SAP business processes in areas like finance, supply chain, procurement, or manufacturing.
  • Hands-on experience with Unity Catalog for managing permissions, lineage, and data discovery in governed environments.
  • Working knowledge of Immuta or similar platforms for policy-based access controls and data masking.
  • Experience implementing data quality, reconciliation, testing, and performance optimization for large-scale enterprise datasets.

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