Adobe invites a Senior Data Engineer to join the Firefly data team in San Jose, onsite. You will architect and own scalable data pipelines and the data foundation, collaborating with analytics, NLP, and product teams to enable AI powered insights. This role offers the opportunity to influence data strategy, work on enterprise scale data systems, and participate in long term incentive programs, with a compensation range of USD 133,100 to 236,400 per year and comprehensive benefits. Adobe empowers employees to create and grow, supported by a culture that values impact, collaboration, and innovation.

Location: San Jose, CA (onsite)

Responsibilities

Architect, build, and own scalable data pipelines and ETL/ELT workflows across multiple sources into a central data warehouse, with end-to-end accountability for data mapping, business logic, quality, and lineage
Develop and maintain infrastructure for timely clustering, translation pipelines, and NLP analysis to support modeling, data science, and analytics teams
Build robust reporting pipelines for product and business-critical systems including generative credit usage data, feedback systems, RLHF research data, and partner reporting
Create 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
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 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 trade-off decisions and owning the 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 to explain technical architecture decisions to non-technical partners

Technologies

SQL
Python
Databricks
Spark SQL
dbt
Airflow
AWS
Azure
Tableau
PowerBI

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 PowerBI

About Adobe

Adobe enables people to create through innovative platforms and tools that unlock creativity, productivity, and personalized customer experiences. Core offerings include Adobe Firefly, Creative Cloud, Experience Platform, Experience Manager, and GenStudio, all designed to turn ideas into impactful outcomes with AI and human ingenuity.

With more than 30,000 employees worldwide, Adobe focuses on empowering every employee to make an impact and believes great ideas can come from anywhere. The next big idea could be yours.

Culture and Hiring

Adobe prioritizes a culture where people, purpose, and community come first, offers comprehensive benefits, and supports employees in contributing to the mission of enabling everyone to create.

Pay and Location details

Location: San Jose, CA. Compensation ranges: US range 133,100 to 236,400 annually; California range 163,200 to 236,400. Pay varies by location and experience.

Senior Data Engineer

Job Description