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# Senior Data Engineer

- **Company:** Adobe Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $163,200.0 - $236,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Computer Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, Data Logging, Large Language Models, Multi-Agent Systems, Generative AI, Adobe, Pyspark, Information Technology, Low Latency, Data Analytics, Tools for Reporting, Application Client, Data Pipelines, Databricks
- **Published:** July 30, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17745068?backUrl=%2Fcareer%2F17745068%2FSenior-Data-Engineer-California-San-Francisco

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
 * Proficiency in SQL and Python, PySpark, Airflow, Databricks workflows.
 * 5+ years in data engineering, including production pipelines at scale.
 * Experience with high-volume event/telemetry data from a client application, not just server-side data.
 * Experience integrating AI tools to optimize/redesign workflows towards higher efficiency, quality, or latency.
 * Experience building multi-agent AI systems or agentic workflows.
 * Working knowledge of AI/ML data pipelines (feature stores, embeddings, or retrieval) and modern BI/reporting tools.
 * A track record of partnering with Product, Engineering, and Data Science to turn ambiguous questions into reliable data models.

Preferred Requirements:

 * MS or Ph.D. in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
 * Hands-on experience with Databricks and Unity Catalog (or comparable Lakehouse and governance tooling).
 * Experience deploying and managing services and applications on Azure and Azure Cloud platforms.
 * Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs.
 * Familiarity with data privacy and compliance for user-behavior data (e.g., GDPR, CCPA).

## Description

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe's future products!
What you'll Do

 * Build, scale and optimize the data architecture and ETL/pipeline on Databricks across Pro Design products, spanning shared platform data and in-app usage telemetry.
 * Partner with Product, Engineering, and Data Science to define and implement data logging and instrumentation that enables product experimentation, AI/ML features, and analytics.
 * Set and evolve governance standards regarding data quality, privacy, security, lineage, and SLAs in Unity Catalog.
 * Build automated reporting and the data foundations that power conversational, AI-driven insights across our reporting stack.
 * Keep production pipelines and queries healthy and performant at scale and drive optimization for cost and latency.


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