Senior Data Engineer

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

The Opportunity

We are seeking a passionate Data Engineer who can operate at the intersection of data processing and machine learning to derive intelligence from enterprise content and help build the data backbone of brand-aware generative this role you will design and implement data foundations that ingest and enrich structured unstructured and multimodal brand assets creating a scalable and retrievable brand intelligence platform. Your work will directly help enterprises create content at scale while preserving brand identity.

As part of the brand AI services team youll ensure generative models reliably access timely relevant datadriving better reasoning personalization and consistency across key Adobe surfaces (GenStudio for Performance Marketers Workfront AEM).

What youll do

Build scalable ingestion pipelines for brand information and creative assets ensuring freshness reliability and versioning.

Integrate and leverage systems and models from our machine learning and data science partner teams.

Design and maintain brand-aware data models ontologies and multi-modal graphs to support context linking and rich retrievals.

Implement hybrid storage and retrieval strategies across vector databases graph databases and search engines optimizing for precision and latency.

Develop metadata enrichment pipelines to enhance semantic search personalization and optimization for RAG-based conversational systems.

Ensure data quality and observability by monitoring metrics for accuracy coverage and timeliness; build monitoring systems to track ingestion and retrieval health.

Collaborate with product ML and information retrieval teams to align data infrastructure with creative workflows.

Optimize pipelines using distributed/streaming systems for scale and speed.

What you need to succeed

4 years of software development experience with 1 year in data engineering search relevance or large-scale systems for conversational experiences.

Expertise in building reliable and innovative ETL pipelines for heterogeneous data.

Experience with distributed data frameworks (Spark Flink) and streaming platforms (Kafka).

Proficiency in Python (preferred) or Java/Scala with strong CS fundamentals.

Experience with cloud platforms (Azure AWS or GCP) and containerization/orchestration (Docker Kubernetes).

Familiarity with modern search systems (Elastic Vespa) and graph databases (Neo4j TigerGraph).

Understanding of ML data pipelines and MLOps standards for monitoring and continuous improvement

Self-starter who thrives in zero-to-one environments and can make informed tradeoffs.

Preferred Qualifications

Background in information retrieval NLP or cognitive computing.

Experience developing optimizing and deploying data processing with Apache Spark/Dask/Ray.

Experience with ontologies knowledge graphs or semantic enrichment pipelines.

Degree in Computer Science Information Systems or related field.

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.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting) the application window will remain open until at least the date and time stated above in Pacific Time in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location no specific application window applies and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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