Senior Data Automation Engineer
Role details
Job location
Tech stack
Job description
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.
What you'll do
- 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.
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.
About Adobe
Benefits & conditions
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,800 -- $239,725 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $165,600 - $239,725 In New York, the pay range for this position is $165,600 - $239,725 In Colorado, the pay range for this position is $140,300 - $203,150 In Illinois, the pay range for this position is $140,300 - $203,150 In Washington, the pay range for this position is $153,100 - $221,650
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.