Top U.S. Offer
$200K
Top total compensation secured across March–April
RoleRaise Data Engineering Cohort
Transition into Data Engineering with real projects, mentor guidance, and interview confidence.
Built for working professionals targeting Data Engineering roles in the US, Canada, and global markets through practical implementation, not tutorial repetition.
- 2 industry-grade projects you can explain in interviews
- Live mentor sessions with architecture and tradeoff guidance
- Structured support for interview prep and career transition
March–April 2026 — Outcomes You Can Replicate
Our learners secured offers across March and April at leading companies including Walmart, Infosys, American Airlines, and KPMG.
If you are targeting a stronger tech role, we help you convert focused effort into interview-ready outcomes with mentor guidance, real projects, and structured execution.
Built for working professionalsInterview-focused preparationMentor-led execution
Top India Offer
₹55 LPA
Highest India package secured across March–April
Preparation Time
6–10 weeks
Average focused preparation window across both months
Outcomes based on verified learner updates from March and April 2026.
Get your personalized 6–10 week transition plan
Start with a free demo session and get a focused roadmap aligned to your target role, current level, and interview timeline.
No payment needed to start · Uses the secure RoleRaise lead form
Trusted by learners on Trustpilot
Learn from practitioners with experience across Tiger Analytics, Airbnb, Meta, Twitter, Capgemini, UBS, Factspan, and Accenture.
Mentor and alumni network with experience across leading companies
52
Professionals Mentored
in the last 2 cohorts
400+
Mock Interviews Conducted
by mentors
14
Career Transitions
in the last 2 months
2
Industry-Grade Projects
built in the program
Who this program is for
- Working professionals planning a transition into Data Engineering
- Analytics engineers, ETL/BI professionals, and data analysts moving up the stack
- Software engineers shifting toward data platform roles
- Learners preparing for data engineering interviews and system rounds
Who this is not for
- People looking for a passive, watch-only course
- Learners who do not want to build complete projects end-to-end
- Anyone expecting guaranteed placement promises
- People who cannot commit weekly time for live sessions and implementation
Why most Data Engineering courses fail
- Too much tutorial content, too little system thinking
- Toy assignments that do not map to production interviews
- No guidance on architecture tradeoffs and communication
- No accountability loop with experienced mentors
Why this cohort is different
Typical Courses
- Watch videos
- Follow steps
- Limited feedback
RoleRaise Cohort
- Build full systems
- Review architecture decisions
- Explain projects interview-ready
What you leave with
Confidence to explain real architecture decisions in interviews
Two portfolio-quality projects you can discuss with hiring managers
Structured mentor feedback instead of self-study guesswork
Better interview communication for system and project discussions
12-week curriculum structure
You build in phases with mentor checkpoints, architecture reviews, mock interviews, and implementation accountability.
Weeks 1-3
Batch systems foundation
- Ingestion and medallion-style data flow
- Transformations, quality checks, and orchestration basics
- Architecture review with mentors
Weeks 4-6
Enterprise batch project build
- Incremental processing and modeling
- Observability and reliability practices
- Review sessions and project refinement
Weeks 7-9
Streaming systems foundation
- Kafka ingestion and stream processing patterns
- Real-time transformations and monitoring flow
- Design tradeoff deep dives
Weeks 10-12
Interview + career execution
- Project explanation and architecture storytelling
- Mock interviews and targeted feedback
- Portfolio and next-step career guidance
Real projects you will build
Project 1
Enterprise Batch Data Engineering Framework
- Data ingestion pipelines
- Medallion architecture
- Incremental processing
- Pipeline orchestration
- Data modeling
- Observability and analytics layer
Project 2
Real-Time Streaming Data Engineering Framework
- Kafka streaming ingestion
- Real-time transformations
- Stream processing
- Monitoring and alerting
- Operational analytics
Architecture and tools you will work with
You will implement and explain this end-to-end architecture pattern used in real data engineering workflows.
Azure
Databricks
Kafka
Power BI
Learn from practitioners who build in production
Sahil Kohli
Associate Director, Tiger Analytics
Ex: Factspan Analytics Inc.
Ketan Hande
Senior Data Architect, Tiger Analytics
Ex: UBS
Alok Agarwal
Data Scientist, Airbnb
Ex: Meta, Twitter
Raj Kumar
Director, Capgemini
Ex: Accenture
Success stories from recent batches
More learner outcomes
Reused from existing RoleRaise success-story content.
"Switching companies is challenging, but the comprehensive support from RoleRaise made all the difference in landing my role at CBA."
Ratul C.
Data Engineer @ Commonwealth Bank of Australia
"The guidance and encouragement from my RoleRaise mentors helped me secure my Associate Director role. I'm extremely grateful for their support."
Saurabh Anand
Associate Director @ BeOne Medicines
"RoleRaise's mentorship and resources were instrumental in my transition to Product Management at NAV."
Sumit Sahagal
Product Manager @ NAV USA
"The personalized coaching and industry insights from RoleRaise helped me land my dream role at Sigmoid."
Safal Kumar
Program Manager @ Sigmoid India
"The mentorship and coaching I received were transformative. With expert guidance, I landed the right role at KPMG UK."
Adam Parry
KPMG UK
"Switching companies is challenging, but the comprehensive support from RoleRaise made all the difference in landing my role at CBA."
Ratul C.
Data Engineer @ Commonwealth Bank of Australia
"The guidance and encouragement from my RoleRaise mentors helped me secure my Associate Director role. I'm extremely grateful for their support."
Saurabh Anand
Associate Director @ BeOne Medicines
"RoleRaise's mentorship and resources were instrumental in my transition to Product Management at NAV."
Sumit Sahagal
Product Manager @ NAV USA
"The personalized coaching and industry insights from RoleRaise helped me land my dream role at Sigmoid."
Safal Kumar
Program Manager @ Sigmoid India
"The mentorship and coaching I received were transformative. With expert guidance, I landed the right role at KPMG UK."
Adam Parry
KPMG UK
Not ready to enroll yet?
Join a free live session on how to transition into Data Engineering with real projects, not endless tutorials.
Program Access
Mentor-Led 12-Week Cohort
Application-led admissions with live sessions, implementation support, mock interviews, and career transition guidance.
Live mentor sessions
2 industry-grade projects
Mock interviews
Career support
Architecture guidance
Recorded sessions
Frequently asked questions
It is beginner-friendly for motivated professionals, but some familiarity with SQL or coding helps you move faster.
Ready to plan your Data Engineering transition?
Start with a strategy call or join a free demo session. If you are a fit, we will guide you on the next cohort path.
Prefer direct contact? Email support@roleraise.com or WhatsApp +91 8951586969.