Senior Data Engineer on the Adobe Firefly data team is responsible for designing scalable data pipelines and the data foundation, collaborating with analytics, NLP, and product teams to enable AI powered insights.

Responsibilities

Design, implement, 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 AI powered self-serve analytics
Establish and promote coding standards, architecture patterns, and engineering guidelines across the team
Construct 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 shape 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 SQL and Python skills; hands-on experience with Databricks, Spark SQL, dbt, Airflow, and cloud platforms (AWS and/or Azure)
Proven ability to craft scalable data architectures, including making trade-off decisions and owning outcomes
Solid focus on data quality, building reliability and observability by default
Ability to translate ambiguous business needs into well-scoped, independently implemented data solutions
Strong communication skills with the ability to explain technical architecture decisions to non-technical partners

Technologies

SQL
Python
Databricks
Spark SQL
dbt
Airflow
AWS
Azure
Tableau
Power BI

Benefits

Comprehensive benefits programs
Long-term incentives in the form of a new hire equity award

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 frameworks, data security, and compliance requirements
Experience crafting dashboards in Tableau or Power BI

About Adobe

Adobe enables creativity and personalized experiences through innovative platforms and tools. Its offerings, including Acrobat Studio, Express, Firefly, Creative Cloud, Experience Platform, Experience Manager, and GenStudio, drive AI powered impact and human ingenuity. With a global team of over 30,000 employees, Adobe aims to hire top talent and foster a culture where ideas can come from anywhere.

Let’s Adobe Together

Adobe emphasizes a culture where all employees can make an impact. Learn about Adobe life, values, and culture, focus on people and community, and how to contribute to Adobe’s mission of empowering everyone to create.

AI Use Guidelines for Interviews

Our interviews reflect your skills and reasoning. AI or recording tools during live interviews are not permitted unless explicitly invited or approved as a reasonable accommodation. Adobe supports AI innovation and provides guidance on appropriate AI use in the hiring process.

Expected Pay Range

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

State-Specific Notices

California: Fair Chance Ordinances
Colorado: Application Window Notice
Massachusetts: Massachusetts Legal Notice

Senior Data Engineer

Job Description