Adobe's Firefly data team offers a path to shape scalable data pipelines and the data foundation that powers AI powered insights. This on-site role in San Jose, CA sits at the intersection of analytics, NLP, and product teams, with a culture that emphasizes impact, collaboration, and continuous learning. The compensation range is USD 133,100 to 236,400 per year, with California-specific range of 163,200 to 236,400.

What we offer

Comprehensive benefits programs
Long-term incentives in the form of a new hire equity award
An environment that empowers employees to contribute meaningfully and grow

Responsibilities

Architect, build, and own scalable data pipelines and ETL/ELT workflows from multiple sources into a central data warehouse, with end-to-end accountability for data mapping, business logic, quality, and lineage
Create and maintain infrastructure for timely clustering, translation pipelines, and NLP analysis to support modeling, data science, and analytics teams
Develop robust reporting pipelines for product and business-critical systems, including generative credit usage data, feedback systems, RLHF research data, and partner reporting
Build foundational datasets and systems that enable advanced self-serve analytics powered by AI
Define and promote coding standards, architecture patterns, and engineering guidelines across the team
Develop data infrastructure that supports AI powered insights and reduces dependency on ad hoc requests
Collaborate with data analysts, data scientists, ML engineers, and product teams to anticipate evolving data needs and influence the technical roadmap

Requirements

BS, MS, or PhD in an analytical field such as statistics, applied mathematics, computer science, engineering, economics, physics, or equivalent practical experience
5+ years of hands-on data engineering experience with a track record of owning complex, production-grade data systems
Strong proficiency in SQL and Python; deep hands-on experience with Databricks, Spark SQL, dbt, Airflow, and cloud platforms (AWS and/or Azure)
Proven ability to design scalable data architectures, including making trade-off decisions and owning the outcomes
Solid data quality instincts with a default focus on reliability and observability
Ability to translate ambiguous business needs into well-scoped, independently implemented data solutions
Strong communication skills to explain technical architecture decisions to non-technical partners

Technologies

SQL, Python
Databricks, Spark SQL
dbt, Airflow
AWS, Azure
Tableau, PowerBI

Nice to have

Experience with NLP pipelines, timely data processing, or ML feature engineering
Experience building or supporting AI-powered analytics tools or self-serve data products
Background in A/B testing infrastructure and experimentation data pipelines
Exposure to data governance, data security, and compliance frameworks
Experience crafting dashboards in Tableau or PowerBI

About Adobe

Adobe enables people to create through innovative platforms and tools that unlock creativity, productivity, and personalized experiences. Its offerings include Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio, blending AI capabilities with human ingenuity.

With more than 30,000 employees worldwide, Adobe is focused on shaping the future and driving growth. The company prioritizes a culture where every employee can make an impact, and great ideas can come from anywhere.

Compensation

The U.S. pay range for this position is $133,100 to $236,400 annually. Pay within this range varies by work location and may depend on knowledge, skills, and experience. In California, the pay range is $163,200 to $236,400.

Senior Data Engineer

Job Description