Senior Data Engineer

Adobe

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $163,200–$236,400 / yr
Posted: 45 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k

This role $200k

$122k most similar roles pay here $249k

This role pays more than 72% of similar roles. Most pay $139,914–$211,200 — the shaded band above. At the midpoint, this role pays about $200k versus about $176k for comparable roles.

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 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Data Engineer

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As a Senior Data Engineer on the Pro Design team, you will build and optimize data architecture and ETL pipelines on Databricks to support shared platform data and in-app usage telemetry. You will collaborate with Product, Engineering, and Data Science teams to implement data logging for product experimentation, AI/ML features, and analytics. Your role involves establishing governance standards for quality, privacy, and security within Unity Catalog while developing automated reporting and foundations for conversational, AI-driven insights. To succeed, you must be proficient in SQL, Python, PySpark, Airflow, and Databricks workflows. You will manage high-volume event data from client applications and work with RAG techniques, LLMs, and feature stores. The role focuses on solving technical challenges related to scaling production pipelines, optimizing for cost and latency, and managing user-behavior data compliance.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

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 for Pro Design products.
Implement data logging and instrumentation to support product experimentation and AI/ML features.
Establish governance standards for data quality, privacy, security, and lineage within Unity Catalog.
Develop automated reporting and data foundations for conversational, AI-driven insights across the reporting stack.
Maintain production pipelines and queries to ensure high performance, low latency, and cost efficiency.
Translate ambiguous business questions from Product and Engineering teams into reliable data models.

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
Proficiency in SQL, Python, PySpark, Airflow, and Databricks workflows.
5+ years of experience in data engineering, including production pipelines at scale.
Experience with high-volume event/telemetry data from client applications.
Experience integrating AI tools to optimize workflows for efficiency, quality, or latency.
Experience building multi-agent AI systems or agentic workflows.
Working knowledge of AI/ML data pipelines, such as feature stores, embeddings, or retrieval.
Familiarity with RAG techniques, LLMs, and data privacy compliance (e.g., GDPR, CCPA).

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