Senior Data Engineer

Adobe

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Quick summary

Work type: On-site
Location: San Francisco, CA
Employment: Full-time
Posted: 39 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $164k

$110k $212k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,120.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins the Pro Design team to build a scalable data foundation for products like Illustrator and InDesign. You will build, scale, and optimize data architecture and ETL pipelines on Databricks, handling shared platform data and in-app usage telemetry. Key responsibilities include partnering with Product and Data Science teams to implement data logging for AI/ML features, setting governance standards in Unity Catalog, and maintaining performant production queries. You will utilize SQL, Python, PySpark, Airflow, and Databricks workflows to manage high-volume event data. The role specifically addresses the technical challenge of powering conversational, AI-driven insights and multi-agent agentic workflows while ensuring data quality, privacy, and security for user-behavior data within a complex design software ecosystem.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

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Skills

Databricks SQL Python PySpark Airflow Unity Catalog Azure RAG LLMs ETL Feature Stores Embeddings

What you'll do

Build, scale, and optimize data architecture and ETL pipelines on Databricks.
Implement data logging and instrumentation to support product experimentation and AI/ML features.
Establish governance standards for data quality, privacy, security, and lineage in Unity Catalog.
Build automated reporting foundations to power conversational, AI-driven insights.
Maintain production pipelines and queries to ensure high performance, low latency, and cost efficiency.
Transform ambiguous business questions into reliable data models in partnership with Product and Data Science teams.

What we're looking for

Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
MS or Ph.D. in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience (preferred).
5+ years of experience in data engineering, including production pipelines at scale.
Proficiency in SQL, Python, PySpark, Airflow, and Databricks workflows.
Experience with high-volume event/telemetry data from a client application.
Experience integrating AI tools to optimize workflows and building multi-agent AI systems or agentic workflows.
Working knowledge of AI/ML data pipelines, modern BI/reporting tools, and Unity Catalog (preferred).
Experience with Azure, RAG techniques, and data privacy compliance for user-behavior data (preferred).