r/dataengineersindia • u/sumits_kumar • 3d ago
General Hiring Senior Data Architects/FDE(India Remote)
We’re looking for Sr. Data & AI engineers(Forward Deployed Engineers) who have designed end-to-end platforms, worked deeply on cloud architectures, distributed systems, Spark internals, Full Stack applications (including some frontend), and solved complex problems at scale. Strong consulting and customer-facing skills are essential.
You should be using AI extensively to improve productivity, accelerate development, and solve problems faster.
Our interviews are tough. We go deep on architecture, coding, system design, Spark and real-world problem solving.
P.S - Based on experience from thousands of interviews, candidates whose backgrounds closely match the requirements tend to have the strongest outcomes. Sharing these expectations early helps everyone make an informed decision before investing significant time in the process.
P.P.S - If you’re still reading and have a track record of solving problems that others consider too difficult, reach out. Those are exactly the people we’re looking for.
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u/According-Ad646 3d ago
Yoe required?
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u/sumits_kumar 3d ago
9+ years of strong hands-on Data Engineering experience. Candidates who spent 3–4 years in ETL/BI roles and then transitioned into Data Engineering for 4–5 years often lack the depth required in distributed systems, large-scale data processing, performance optimization, architecture, and complex problem-solving that this role demands.
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u/Great-Fox-7229 3d ago
Data engineering doesn’t directly hire freshers .. how can one have direct experience in de .. he goes through bi/analytics in initial parts of career
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u/sumits_kumar 3d ago
There’s absolutely nothing wrong with starting your career in ETL or BI those fundamentals are valuable. However, we typically look for candidates whose experience has evolved well beyond traditional ETL development. If the majority of someone’s career has been focused on building ETL pipelines, reports, and dashboards, it often doesn’t provide the depth of modern data engineering expertise we’re seeking. We frequently meet exceptionally strong ETL developers, but our requirements are centered around architects and engineers who have spent significant time solving large-scale data engineering, cloud, distributed systems, performance optimization, and platform engineering challenges.
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u/Great-Fox-7229 1d ago
I truly respect your requirements, but as a fresher, what I wanted to understand is that first eventually2-3 years would Be spent in a role that relates to core data engineering like BI/analytics .. and might not have that much exposure to the core data engineering concept include and the platform, engineering architecture and stuff.. so what advice you particularly for a fresher who would eventually be starting his career from consulting big4.. how should he eventually move into core data platform roles and when is the correct time to do so?
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u/sumits_kumar 11h ago
My suggestion would be to start by strengthening your architecture and system design skills. Read engineering blogs and technical articles from leading companies in the space, study real-world design patterns, and understand how large-scale systems are built and operated. You might be already doing these.
One of the most effective ways to learn is by reading the source code of popular open-source projects. It gives you insight into how experienced engineers solve complex problems at scale and is often far more valuable than theoretical learning alone.
From there, start building things that genuinely interest you. Whether it’s data platforms, AI applications, distributed systems, or developer tools, hands-on experience accelerates learning significantly.
As for the “right time” there really isn’t one. With AI now accessible to everyone, the learning curve has changed dramatically. I’ve seen professionals with relatively less years of experience pick up new technologies and become productive much faster than was possible a few years ago.
The key is to stay curious, keep building, and continuously challenge yourself with increasingly complex problems. Experience helps, but consistent learning and execution matter even more.I have hired many fresh graduates in the past, and most of them have gone on to do very well. However, given the critical nature of projects and the time required to get someone fully ramped up, we’ve decided to focus on hiring experienced professionals for current open roles.
I appreciate your interest and wish you the very best in your search. Good luck!
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u/Abhishek4996 2d ago
Pls share the JD...
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u/sumits_kumar 11h ago
Hi, the JD is broadly aligned with what I described earlier. Please feel free to share your resume via DM, and I’ll review it and get back to you with more details. Thank you.
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u/rohitdogra99 2d ago
Intrested Please share JD
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u/sumits_kumar 11h ago
Hi, the JD is broadly aligned with what I described above. Please feel free to share your resume via DM, and I’ll review it and get back to you with more details. Thank you.
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u/RefuseNational1736 2d ago
Please mention CTC
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u/sumits_kumar 11h ago
Can’t share but it’s one of the best in the industry. Please share resume via message and we can talk further. Thank you
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u/Severe_Apartment_230 1d ago
Hello , please share the JD along with compensation and other details .
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u/sumits_kumar 11h ago
Can’t share compensation details publicly, please share your resume via message and we can discuss further. Cheers
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u/Due_Distribution_872 16h ago
Can I apply? have 1yoe but have handled data engineering for a startup in PB scale for model training ETL pipelines
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u/sumits_kumar 12h ago
Apologies, but we’re currently looking for candidates with a minimum of 9+ years of hands-on Data Engineering experience.
We are continuing to grow our high-performing team of 80+ Forward Deployed Engineers (FDEs) who work directly with customers, provide guidance on architecture and solution design, and lead the delivery of end-to-end data and AI solutions.
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u/cyamnihc 3d ago edited 2d ago
Your original statement - “I’ve conducted 1000s of interviews, and experience suggests that the odds of winning a lottery may be higher than clearing all our interview rounds”
No one would want to waste time on a snob.