Data Engineer

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

The Challenge

Apply your expertise in data engineering to drive the next stage of growth at Adobe. The AUP team is passionate about delivering optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools and technologies.

What you will do

• Build scalable, fault-tolerant data pipelines on cloud platforms
• Enable analytics and personalization using Adobe tools (AEP, AJO, CJA)
• Develop end-to-end data pipelines to support production ML models
• Build and optimize LLM-based agents to automate data workflows
• Design data ingestion, transformation, governance, and consumption frameworks
• Collaborate closely with data scientists and ML engineers

What you will need

• Master’s degree or equivalent experience is preferred.
• 8+ years of consistent track record as a data engineer.
• 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
• 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc.
• Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc.
• 2+ years’ experience with streaming data ingestion and transformation using Kafka, Kinesis etc.
• Outstanding SQL experience. Ability to write optimized SQLs across platforms.
• Experience with CI/CD, orchestration tools (Airflow), and production data systems
• Excellent collaboration and communication skills

Nice to have

• Experience with data governance tools (e.g., Collibra)
• Familiarity with Adobe Experience Platform and related solutions
• Experience with LLMs, agentic workflows, RAG, and prompt engineering
• Open-source contributions

Key skills/competency

• Data Engineering
• Cloud Platforms
• Data Pipelines
• Machine Learning
• Adobe Experience Platform
• SQL
• Big Data Technologies
• Streaming Data
• Data Governance
• LLM