Senior Data Automation Engineer

Adobe

Quick summary

Work type: On-site
Location: San Jose · Denver, CO · Austin, TX · San Francisco, CA · Seattle, WA
Salary: $165,600–$239,725 / yr
Posted: 3 days ago
Closes: Aug 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k

This role $203k

$116k most similar roles pay here $253k

This role pays more than 74% of similar roles. Most pay $131,820–$209,000 — the shaded band above. At the midpoint, this role pays about $203k versus about $170k 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 317 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 317 roles with salary data.

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At a glance

TL;DR · Senior Data Automation Engineer

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As a Senior Data Automation Engineer at Adobe’s Experience League Strategic Technology & Data Management team, you will play a pivotal role in building and maintaining AI-powered workflows that enhance data governance and validation for post-sales marketing operations. Your responsibilities include exploring customer datasets to document sources and accelerating their ingestion into the Customer Data Foundation, designing scalable ETL/ELT pipelines using tools like Apache Airflow and dbt, and developing automation workflows to improve data quality across Adobe’s MarTech platforms such as Analytics, AEM, Marketo, and AEP. You will collaborate closely with marketing, content, and analytics teams to translate business requirements into robust technical solutions. Ideal candidates have 5+ years of experience in data engineering or a related field, proficiency in Python and SQL, and hands-on experience with cloud platforms like Snowflake and Databricks, as well as agentic AI frameworks such as LangChain and AutoGen.

Skills

Python SQL Apache Airflow dbt Snowflake Databricks Adobe Experience Platform Agentic AI frameworks LangChain AutoGen CrewAI CI/CD Cloud Data Platforms Data Modeling Methodologies

What you'll do

Investigate and document customer data sources for ingestion into the Customer Data Foundation.
Design and build scalable ETL/ELT pipelines across Adobe's MarTech platforms.
Develop automation workflows to reduce manual data handling and improve data quality.
Translate business requirements into robust data engineering solutions with partners.
Build or work with agentic AI frameworks to enhance workflow efficiency.

What we're looking for

5+ years of experience in data engineering or related field with focus on automation and system development.
BS/MS in Computer Science, Data Engineering, Information Systems, or equivalent practical experience required.
Proficiency in Python and SQL; experience with Apache Airflow, dbt, or similar orchestration frameworks.
Experience working with cloud data platforms like Snowflake, Databricks, and AEP; understanding of data modeling methodologies.
Ability to translate marketing and business needs into technical requirements for reliable data pipelines.
Demonstrated experience building or using agentic AI frameworks or LLM-powered automation tools.

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