The Opportunity 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 Adobe’s future products!
What you'll Do - 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.
What you need to succeed Minimum Requirements:
- Bachelor’s 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).
Expected Pay Range:
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 positionis $133,100 -- $236,400 annually. Paywithin this range varies by work locationand 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 $163,200 - $236,400
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.
