Senior Data Automation Engineer

Adobe•San Jose, CA

3d•$125,800 - $239,725

About The Position

We are looking for a Senior Data Automation Engineer to join the Experience League Strategic Technology & Data Management team. In this role, you will investigate and document customer data sources and build agentic AI-powered workflows that streamline reporting, governance, and data validation for post-sales marketing and reporting operations. You will work closely with data engineering, analyst, marketing operations, platform, and marketing business teams to ensure that the right data reaches the right systems — reliably, accurately, and at scale. This is a high-impact individual contributor role for someone who is energized by building clean, scalable data systems and who thrives in a collaborative, fast-moving environment.

Requirements

5+ years of experience in data engineering, data automation, or a related field with a strong emphasis on automation and system development.
BS/MS or equivalent experience in Computer Science, Data Engineering, Information Systems, or equivalent practical experience required
Proficiency in Python and SQL; experience building production-grade data pipelines using tools such as Apache Airflow, dbt, or equivalent orchestration frameworks.
Experience working with cloud data platforms (Snowflake, Databricks, or AEP) and understanding of data modeling methodologies.
Ability to translate loosely defined marketing and business needs into well-scoped technical requirements and reliable data pipelines.
Demonstrated experience building or working with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) or LLM-powered automation tools to drive workflow efficiency.
Strong communication skills with the ability to work effectively across marketing, engineering, and analytics teams.

Responsibilities

Explore and profile customer datasets to identify, evaluate, and document data sources, accelerating their ingestion into our Customer Data Foundation for use in customer learning initiatives.
Design and build scalable ETL/ELT pipelines that ingest, transform, and deliver data across Adobe Experience League's MarTech platforms (Adobe Analytics, AEM, Marketo, AEP, and internal systems).
Develop and maintain automation workflows that reduce manual data handling, accelerate analysis efforts, and improve data quality across the marketing tech stack.
Partner with marketing, content, and analytics partners to translate business requirements into robust data engineering solutions.