Principal Scientist – Data Pipeline Engineer

Adobe

Principal Scientist - Data Pipeline Engineer at Adobe leading the optimization of multimodal data processing. Designing large-scale data infrastructure and collaborating with modeling teams.

Posted 7/17/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesLead💰 $206,300 - $388,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in architecting and optimizing large-scale distributed systems and pipelines, with a strong focus on data engineering and machine learning infrastructure. Proficient in Python and experienced in C++, Rust, Go, or Java, with a solid understanding of databases and storage systems at scale.

Highest-signal resume keywords

Data EngineeringMachine Learning InfrastructureDistributed SystemsPython ProgrammingGPU Inference Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMachine Learning InfrastructureDistributed SystemsPython ProgrammingC++ ProgrammingRust ProgrammingGo ProgrammingJava ProgrammingDatabase ManagementGPU Inference Optimization

Soft Skills

Technical Leadership

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePh.D. in Computer SciencePh.D. in EngineeringPh.D. in Machine Learning

Industry Keywords

Data CurationModel TrainingInference ThroughputData StorageData Indexing

Tech Stack

Tools & technologies

Distributed SystemsGoJavaPythonRust

About the role

Key responsibilities & impact

Architect and optimize large-scale distributed pipelines
Scale up inference throughput across the pipeline
Design systems that reliably store, index, and serve billions of data points
Apply deep expertise in distributed systems and frameworks
Partner with modeling teams to understand data that improves training outcomes
Operate as a hands-on technical leader

Requirements

What you’ll need

10+ years of experience in data engineering, ML infrastructure, or distributed systems
Strong software engineering background
Proficiency in Python and strong experience in C++, Rust, Go, or Java
Deep knowledge of databases and storage systems at scale
Strong ML background, particularly expertise in optimizing GPU inference pipelines
Experience with data curation for model training
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field

Benefits

Comp & perks

Health insurance
Professional development
Paid time off
Flexible work arrangements