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.
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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
