Senior Data Engineer

The world of design is changing rapidly and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator InDesign and emerging experiences that connect creativity collaboration and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent connected tools that empower creators and teams to move faster without sacrificing craft.

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobes future products!

• Build scale and optimize the data architecture and ETL/pipeline on Databricks across Pro Design products spanning shared platform data and in-app usage telemetry.
• Partner with Product Engineering and Data Science to define and implement data logging and instrumentation that enables product experimentation AI/ML features and analytics.
• Set and evolve governance standards regarding data quality privacy security lineage and SLAs in Unity Catalog.
• Build automated reporting and the data foundations that power conversational AI-driven insights across our reporting stack.
• Keep production pipelines and queries healthy and performant at scale and drive optimization for cost and latency.

Minimum Requirements:

• Bachelors degree in Computer Science Computer Engineering relevant technical field or equivalent practical experience.
• Proficiency in SQL and Python PySpark Airflow Databricks workflows.
• 5 years in data engineering including production pipelines at scale.
• Experience with high-volume event/telemetry data from a client application not just server-side data.
• Experience integrating AI tools to optimize/redesign workflows towards higher efficiency quality or latency.
• Experience building multi-agent AI systems or agentic workflows.
• Working knowledge of AI/ML data pipelines (feature stores embeddings or retrieval) and modern BI/reporting tools.
• A track record of partnering with Product Engineering and Data Science to turn ambiguous questions into reliable data models.

Preferred Requirements:

• MS or Ph.D. in Computer Science Computer Engineering relevant technical field or equivalent practical experience.
• Hands-on experience with Databricks and Unity Catalog (or comparable Lakehouse and governance tooling).
• Experience deploying and managing services and applications on Azure and Azure Cloud platforms.
• Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs.
• Familiarity with data privacy and compliance for user-behavior data (e.g. GDPR CCPA).

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes 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 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.

Lets Adobe together

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Expected Pay Range:

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.

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