You know what you need to do.
You need to interview like a senior, execute like a senior, and think like a senior.
The problem? No one teaches you how.
I’m a Databricks Data Engineer (ex-Uber, 5+ years) helping 10,000+ engineers make the leap to senior level. Every week, I break down the exact frameworks, solutions, and strategies that get you hired and promoted at FAANG and top tech companies.
What You Get (Free)
Every Monday: Senior-level interview strategies How to answer the questions that separate mid-level from senior candidates. Proven frameworks and real scenarios.
Every Wednesday: Production-grade technical solutions Actionable playbooks for recurring Databricks challenges. The solutions you’ll reference at 3 AM when production is down.
Every Friday: Career insights and validation Strategic thinking, hot takes, and honest perspectives on advancing in data engineering.
What Premium Subscribers Get (Exclusive)
Everything above, plus:
Deep-Dive Interview Prep Complete FAANG-level interview walkthroughs. System design patterns. The killer Databricks questions with proven answers that get offers.
Advanced Hands-On Labs Real architectures you can build: Medallion pipelines, streaming implementations, performance tuning strategies, cost optimization frameworks.
Strategic Career Playbooks How to drive high-impact initiatives, increase visibility, get promoted, and position yourself as the senior engineer on your team.
Who This Is For
Mid-to-senior Databricks data engineers who want:
To land senior roles at FAANG or top tech companies
Production-grade technical skills, not just theory
Proven interview frameworks that actually work
Strategic career guidance from someone who’s been there
Who This Isn’t For
Beginners learning basics
People wanting generic career advice
Anyone looking for fluff content
The Bottom Line
No theory. No generic advice. Just the exact frameworks, architectures, and strategies that work.
Join 10,000+ Databricks engineers advancing to senior level.
This publication is not sponsored by, endorsed by, or affiliated with Databricks, Inc.
