Senior Data Engineer

Overview

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

About the Role:

GMI is in search of a highly skilled and modern Data Engineer to join our dynamic team. This role is suited for someone who thrives in a fast-paced environment, is passionate about data, and has a strong foundation in software engineering. You will be crucial in constructing scalable data pipelines and contributing to innovative GenAI and LLM-based solutions that empower Adobe Global Marketing Organization. Your work will directly impact our ability to deliver outstanding data-driven insights and solutions!

Key Responsibilities:

• Build, develop, and maintain scalable data pipelines using Apache Spark, Databricks, and Python.
• Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
• Engage with multi-functional teams, including data scientists, product managers, and software engineers, to deliver data-driven solutions.
• Implement and optimize data models and architectures for performance and scalability.
• Build applications that incorporate GenAI and LLM, blending structured data with unstructured data sources.
• Ensure data quality, integrity, and governance across all stages of the data lifecycle.
• Implement guidelines for software engineering such as version control, CI/CD, testing, and documentation.
  
  

Required Qualifications:

Educational Background: Bachelor’s or higher degree in Computer Science, Engineering, or a related field.

Professional Experience: 5–8 years of hands-on experience in data engineering or software engineering, with a strong foundation in building production-grade systems and applying software engineering principles.

Technical Proficiency: Expertise in Apache Spark, Python, SQL, and Databricks, with a proven ability to develop scalable data solutions.

AI/ML Exposure: Practical experience working with Generative AI, Large Language Models (LLMs), or similar AI/ML technologies in recent projects.

Cloud & Collaboration Skills: Familiarity with cloud platforms such as AWS, Azure, or GCP, understanding of data lake architectures, and strong problem-solving skills with the ability to work both independently and collaboratively.

Preferred Qualifications:

• Experience with MLOps, model deployment, or serving LLMs in production.
• Knowledge of data visualization tools and dashboarding (e.g., Tableau, Power BI).
• Knowledge of full stacks like (MERN, MEAN).
  
  

Why Join Us?

• Work on high-impact projects that build the future of GMI/Adobe.com.
• Be part of a collaborative and inclusive team that values innovation and continuous learning.
• Access to modern technologies and tools.
• Competitive compensation and benefits.
  
  

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.