Job Overview: Senior Data Engineer
Adobe’s Global Marketing Organization (GMI) is hiring a highly skilled and modern Data Engineer to strengthen its advanced data ecosystem. This role is ideal for professionals who enjoy solving complex data challenges, building scalable pipelines, and working with cutting-edge AI technologies. As a Data Engineer in GMI, you will be responsible for designing, developing, and maintaining robust data architectures that power Adobe’s marketing insights, personalization, and automation systems.
The position offers the opportunity to collaborate closely with software engineers, data scientists, AI/ML researchers, and product managers. You will work on end-to-end data workflows—from collection and modelling to transformation and integration—using tools like Apache Spark, Databricks, SQL, and Python. One of the most exciting parts of this role is contributing to GenAI and Large Language Model (LLM) based applications that combine structured and unstructured data. Your work will directly influence how Adobe leverages AI-driven solutions across its marketing platforms.
In this fast-paced and evolving environment, Adobe expects a Data Engineer who is self-driven, detail-oriented, and passionate about quality. From implementing CI/CD and testing practices to ensuring data governance and reliability, this role touches every aspect of modern data engineering. If you’re looking for a challenging role with global impact, Adobe GMI is the perfect place to grow.
Highlights (Summary)
- Role: Data Engineer
- Department: Data Science & Analytics
- Industry: IT Services & Consulting
- Employment Type: Full-Time, Permanent
- Experience Required: 5–8 years
- Education: Bachelor’s degree or higher in Computer Science or Engineering
- Core Tools: Databricks, Apache Spark, SQL, Python
- AI Integration: GenAI, LLM applications
- Preferred Skills: MLOps, dashboarding, cloud platforms, full-stack knowledge
- Work Environment: Fast-paced, cross-functional, innovation-driven
Eligibility Criteria
Educational Requirements
- Bachelor’s or higher degree in Computer Science, Engineering, or related field
- PG degree optional but valuable (M.Tech, MBA, etc.)
- Note: LLM in Law listed in job template is not required for this technical role (ignore it)
Professional Experience
- 5–8 years of professional experience in data engineering or software engineering
- Hands-on expertise in production-grade data systems
- Experience working in multi-functional teams and global environments
Technical Eligibility
- Strong experience with Apache Spark, Databricks, SQL, Python
- Understanding of cloud platforms like AWS, Azure, or GCP
- Experience implementing CI/CD, testing, documentation, and version control
- Knowledge of data modelling and modern data architectures
Additional Eligibility
- Experience working with GenAI, LLM-based applications, or AI/ML workflows
- Strong communication skills
- Ability to solve complex data problems independently
Key Responsibilities
1. Build Scalable Data Pipelines
Develop, optimize, and manage pipelines using Apache Spark, Databricks, and Python for large-scale data processing.
2. Write Optimized SQL Queries
Design efficient SQL queries for ETL operations, data analysis, and database transformations.
3. Collaborate with Cross-Functional Teams
Work alongside product managers, data scientists, and software engineers to create impactful data-driven solutions.
4. Implement Robust Data Models
Design scalable architectures that support analytics, machine learning, and marketing intelligence.
5. Design GenAI & LLM Applications
Build applications combining structured data with unstructured data sources to power Adobe’s AI-driven marketing capabilities.
6. Ensure Data Quality & Governance
Maintain high data quality through validation, monitoring, governance frameworks, and documentation.
7. Apply Engineering Best Practices
Implement version control, CI/CD pipelines, testing standards, and automation.
8. Solve Technical Challenges
Identify bottlenecks, design solutions, and optimize systems for speed and efficiency.
Skills Required
Technical Skills
- Apache Spark
- Databricks
- Python
- SQL (advanced)
- Cloud Services (AWS/Azure/GCP)
- ETL pipeline development
- Data modelling
- Data lake & data warehouse architectures
- Version control (Git)
- CI/CD automation
AI/ML & GenAI Skills
- Knowledge of LLMs and GenAI applications
- Experience integrating ML models into production
- Familiarity with MLOps practices
Additional Preferred Skills
- Tableau, Power BI
- MERN/MEAN stack basics
- Dashboarding & visualization
- Big data optimization
Soft Skills
- Problem-solving
- Collaboration
- Communication
- Analytical mindset
- Adaptability
- Team coordination
Salary & Benefits
Salary Range at Adobe
The salary for a Data Engineer typically ranges between:
- ₹18,00,000 – ₹38,00,000 per year
- Senior or highly experienced candidates may earn higher based on skills & location.
Benefits
Adobe offers top-class employee benefits:
- Free Meals
- Cafeteria Access
- Office Gym
- Health Insurance
- Job/Soft-Skill Training
- Professional Degree Assistance
- Flexible work options
- Learning & Development programs
- Work-life balance
- Opportunity to work with global teams
Selection Process
Adobe’s hiring process includes multiple evaluation steps:
1. Application Screening
Shortlisting based on experience, resume quality, and key skill match.
2. HR Round
Covers role understanding, expectations, salary structure, and cultural fit.
3. Technical Interview – Round 1
Focus on:
- Data engineering concepts
- SQL
- Python
- Spark
- Databricks
- Data architecture
4. Technical Interview – Round 2
Advanced topics:
- GenAI/LLMs
- CI/CD
- Data models
- Cloud platforms
- Production pipelines
5. Managerial/Panel Round
Checks leadership qualities, communication, real project scenarios, and collaboration skills.
6. Final Offer
Selected candidates receive an offer letter with the role, compensation, and joining details.
Application Process
How to Apply Online
Follow these steps:
- Visit the Adobe Careers website.
- Search for “Data Engineer – GMI” role.
- Select your preferred job location.
- Read the job description carefully.
- Click Apply Now.
- Fill in your details & upload your resume.
- Submit your application.
- Track updates through email/portal.
Tips for Applying
- Highlight Spark, SQL, Databricks, and GenAI experience in your resume.
- Mention real projects with metrics.
- Include AI/ML or LLM-based project details.
- Tailor your resume according to the role.
Why Join Adobe Jobs?
Adobe is one of the most admired companies in the world, known for its innovation, culture, and employee experience. Here’s why joining Adobe GMI is a great decision:
1. Work on Impactful Projects
Your work supports Adobe.com and global marketing solutions used worldwide.
2. Exposure to New-Age Technologies
GenAI, LLMs, advanced cloud platforms, big data tools, MLOps, and more.
3. Inclusive & Collaborative Culture
Adobe encourages creativity, learning, and diverse perspectives.
4. Strong Career Growth
Internal mobility, global exposure, training programs, and leadership opportunities.
5. Excellent Compensation & Benefits
Competitive salary, health insurance, free meals, wellness resources, and learning support.
About Adobe
Adobe is a global leader in digital media, creative software, and digital marketing solutions. Founded in 1982, Adobe has grown into a powerhouse of innovation, known for products like Photoshop, Illustrator, Premiere Pro, After Effects, Adobe Experience Cloud, and many more. Adobe’s mission is to change the world through digital experiences, helping individuals and businesses bring their creativity to life.
What makes Adobe exceptional is its commitment to delivering seamless digital workflows, powerful creativity tools, and next-generation AI-driven solutions. Adobe Sensei, the company’s AI and machine learning engine, powers everything from content personalization and recommendation systems to creative enhancements and productivity tools. With customers ranging from individual creators to Fortune 500 companies, Adobe plays a crucial role in global digital transformation.
Adobe continues to invest heavily in AI, GenAI, LLMs, cloud-based applications, and marketing automation. Its Global Marketing Organization (GMI) focuses on using data and AI to drive meaningful customer engagement, performance insights, and personalized experiences.
The company operates in more than 30 countries and employs thousands of talented professionals. Known for its employee-friendly culture, Adobe consistently ranks among the world’s best workplaces. It offers flexible work options, strong diversity programs, continuous learning support, and a healthy work-life balance.
For professionals passionate about innovation, creativity, and technology, Adobe provides a dynamic environment to grow, lead, and make a meaningful impact.
Conclusion
The Adobe GMI Data Engineer role is a remarkable opportunity for professionals who want to work with advanced data technologies, AI-driven applications, and global-scale systems. With opportunities to collaborate across teams, build GenAI and LLM-based solutions, and contribute to high-impact marketing projects, this role offers both technical depth and career growth.
If you have strong experience in Spark, SQL, Python, Databricks, and data modelling—and you’re excited to work in a fast-paced environment—Adobe’s Data Engineer position is a perfect fit for you.
FAQs – Adobe Data Engineer
Q1. What experience is required for an Adobe GMI Data Engineer?
Ans. 5–8 years of experience in data or software engineering.
Q2. What skills are most important?
Ans. Spark, Databricks, SQL, Python, cloud platforms, and model deployment.
Q3. Does Adobe require GenAI experience?
Ans. Yes, practical exposure to LLMs or GenAI-based applications is preferred.
Q4. What is the salary range?
Ans. ₹18 lakh – ₹38 lakh per year, depending on experience and location.
Q5. Can remote candidates apply?
Ans. Some positions allow hybrid or remote options based on location.
Q6. What tools will I work with?
Ans. Spark, Databricks, Python, AI/ML tools, cloud platforms, and more.
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