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Technical Architect, Data Engineering

🏒 Snowflake πŸ“ IN-Pune ⏰ 3 minutes ago
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πŸ“Œ The Job at a Glance

🟒 100% Verified Opening
🏒 Company:
Snowflake
πŸ“ Location:
IN-Pune
πŸ’° CTC:
Not disclosed by the employer
πŸŽ“ For Batch:
2024 / 2025 / 2026 (B.E/B.Tech/MCA)

Snowflake is actively hiring for Technical Architect, Data Engineering roles in IN-Pune. The salary has not been published by the employer.

On this page, you’ll find everything you need: what the job is really like, what skills matter, how the interview process works, a study plan to prepare, and honest answers to questions you probably have. At the bottom, you’ll find the official apply button β€” it links directly to Snowflake’s careers page, no fees, no tricks. Let’s dig in.

1. What’s This Job Really About?

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset β€” who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership. Our portfolio of modernisation solutions spans data…

As a Technical Architect, Data Engineering, you’ll be writing real code that real people use. You’ll build features, fix bugs, review teammates’ code, and help keep systems running smoothly. It’s hands-on work paired with design discussions β€” you’re not just coding in isolation. You’ll get feedback, learn quickly, and own the stuff you build from start to finish.

This role works well for freshers who want to learn fast and early-career folks ready to go deeper. You don’t need to know everything β€” you just need to be willing to learn and a solid grasp of the fundamentals (data structures, algorithms, one programming language).

2. Why Snowflake and Why Now?

Snowflake is a serious tech company. Your code goes to real users. That’s good news for you: fast feedback, clear expectations, and actual impact. You’ll work with experienced people, get regular code review, and see how production systems work β€” invaluable experience for your career.

IN-Pune is a tech hub with a real community of engineers. Meetups, peers to learn from, and plenty of other job opportunities. That matters for your learning and your future options.

3. Day-to-Day: What You’ll Actually Do

Here’s what a typical week looks like:

  • Build features: take requirements and turn them into working code.
  • Write tests: make sure your code works, and that future changes won’t break it.
  • Code reviews: get feedback from teammates, and give feedback on theirs. One of the best ways to learn.
  • Fix things: investigate bugs, look at logs, and keep systems running smoothly.
  • Talk with others: work with designers, product managers, and other engineers to align on what needs doing.
  • Document your work: write notes so others (and future you) can understand what you built and why.

4. Skills You Need (Or Should Be Learning)

  • One solid programming language: Java, Python, C++, Go, JavaScript, or TypeScript. Know it well enough to solve problems without Googling syntax.
  • Data structures and algorithms: Arrays, strings, maps, trees, graphs, sorting. And be able to think about whether your solution is fast and efficient.
  • API design basics: How REST APIs work, how to design them, microservices fundamentals.
  • Databases: Know SQL (PostgreSQL, MySQL). Understand indexing and basic optimization. Bonus: know one NoSQL database.
  • Cloud platforms: At least basics of AWS, GCP, or Azure. Docker. Git.
  • Testing: Write tests for your code. It’s not optional.

You don’t need to be an expert in everything. Being really good at a couple of things and willing to learn the rest? That’s what companies actually want.

5. Preferred and Bonus Qualifications

  • Personal or open-source projects that demonstrate real, working software beyond coursework.
  • Internship experience or hackathon participation relevant to the Technical Architect, Data Engineering domain.
  • Exposure to modern frameworks and tools aligned with Snowflake’s stack.
  • Competitive-programming background or a strong profile on coding platforms.
  • Clear written and verbal communication β€” the ability to explain a technical decision simply.

6. Are You Eligible?

This role is for B.E/B.Tech/MCA/M.Tech graduates from 2024, 2025, or 2026. Usually you need 60% or 6.0 CGPA (exact cutoffs vary by company β€” check the official portal). If you’re a fresher or have a few years of experience, apply anyway. Companies care about potential and learning ability, not just checking boxes. If you can solve problems and you’re willing to learn, you’re a candidate.

7. The Interview Process (What to Expect)

  1. Online Test: 2–3 coding problems on data structures and algorithms. Timed. Usually 1–2 hours.
  2. Technical Interview 1: Live coding. Solve a problem in a shared editor. Talk through your approach. Discuss complexity (time and space).
  3. Technical Interview 2: System design or project deep-dive. “Design a URL shortener” or “Tell me about a project you built.” Same structure: problem, approach, trade-offs.
  4. HR Round: Questions about your background, what you’re looking for, why this company. Then offer discussion.

The exact format varies by company and role. Check the official portal for the current process.

8. Study Plan: One Month to Ready

Here’s what actually works:

  • Week 1: Review basics. Arrays, strings, maps, linked lists, stacks, queues. Solve easy problems every day. Get the muscle memory back.
  • Week 2: Trees, graphs, recursion, sorting, searching. Move to medium problems. Start doing timed problems to get used to the pressure.
  • Week 3: System design basics. Learn to talk about trade-offs. Pick one project you built and be ready to explain it inside out.
  • Week 4: Mock interviews. Find a friend or use an online platform. Identify weak spots. Polish your resume. Stay calm.

One key habit: solve 2–3 problems a day, every day. Don’t cram. Consistency beats intensity. When you solve a problem, don’t just move on β€” read the optimal solution, understand why it’s better, and solve it again the next day from memory.

The other key habit: talk out loud while you think. Many people code in silence, then freeze in interviews. Practice explaining your approach. Record yourself. Treat communication as a skill to train, not a talent you either have or lack.

9. Money: The Real Numbers

Snowflake has not published a salary for this role. That is normal β€” many employers only discuss pay once you reach the offer stage. Ask the recruiter for the range early so you do not spend weeks on a process that cannot meet your number. Either way, remember: CTC is not what hits your bank account. Your actual monthly salary depends on the split (base + bonus + stock + benefits), taxes, and deductions. A 12 LPA package might be 60k base + 2k/month bonus + PF deductions, which is different from 1L flat. Do the math before you celebrate.

Use our in-hand salary calculator to see what you’ll actually take home each month. All numbers here are estimates β€” confirm the exact details in your offer letter.

10. Where? And How to Work?

The role is in IN-Pune. Work setup (on-site, hybrid, remote) varies by company β€” check the official portal. If you’re relocating, factor in commute, cost of living, and the tech community. IN-Pune has a good tech scene, which matters for learning and future jobs.

πŸ“„ Optimize Your Resume & Calculate In-Hand Salary

Build a verified 98/100 single-column ATS resume and compute your monthly take-home salary after taxes.

11. Ready to Apply? Here’s How

The official apply button goes directly to Snowflake’s career portal. No fees. No tricks.

πŸ‘‰ πŸ‘‰ Apply on Official Company Career Portal
100% Free & Verified Official Application Link

Before you apply, check these:

  • Read the eligibility section above. Do you match?
  • Have a clean, one-page resume ready. ATS-friendly (no fancy formatting).
  • Know one programming language well and be able to solve a coding problem on the spot.
  • Be ready to talk about a project you’ve built.

12. What You’ll Actually Be Asked

Three types of questions come up in almost every interview:

  • Coding problems (DSA): Arrays, strings, hash maps, linked lists, trees, graphs, sorting, dynamic programming. Your job: restate the problem, think out loud, write clean code, and explain the complexity (time and space). Interviewers care about your reasoning, not just getting the right answer.
  • System design: “Design a URL shortener” or “how would you build a notification system?” No perfect answer. The point is to show you can think about trade-offs, architecture, and scaling. Approach: clarify requirements, sketch the design, discuss options.
  • Behavioral: “Tell me about a bug you fixed” or “when did you disagree with a teammate?” Use the STAR method (situation, task, action, result). Keep it short, tie it to what you learned.

Practice 2–3 problems a day. Don’t just solve β€” study the solution, understand why it’s better, and redo it. This builds pattern recognition, which is what interviews actually test.

13. Mistakes People Actually Make (And How to Avoid Them)

  • Coding without thinking: Take 2 minutes to understand the problem, clarify edge cases, and propose a solution before writing code. A wrong assumption is expensive.
  • Staying quiet: Talk out loud. Explain your thinking. Interviewers can’t give credit for thoughts they can’t hear.
  • Not discussing complexity: Always say the time and space complexity. Can it be better? Say that too.
  • Bad resume: ATS systems filter resumes before humans see them. Keep it single-column, no fancy formatting, clear and quantified. One page is fine.
  • Fee scams: No real employer asks for money upfront. Not Snowflake, not anyone. If someone is asking, it’s a scam. Apply only through the official link on this page.

14. Your Resume: What Actually Works

Your resume is scanned by ATS software before a human sees it. Use a clean, single-column layout. No tables, no images, no multi-column designs β€” they break parsers. Include: education, experience, projects, skills.

For each bullet, include numbers: “Reduced latency by 40%,” “Scaled system to handle 1M queries/sec,” “Shipped feature used by 50k users.” This is what gets noticed.

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One page if you’re a fresher, max two if you have experience. Proofread. Errors suggest you don’t pay attention. Include links to code (GitHub) or live projects. Use our ATS resume builder if you want it done right.

15. Your Career After This Role

Year 1: Get productive. Ship features. Write good code. Learn from code review. Build trust.

Years 2–3: Go deeper in one area (backend, infrastructure, data, AI) while learning how systems fit together. This is what separates junior from mid-level engineers.

Further out: Senior engineers design systems, mentor others, and own outcomes. Some move into leadership. Some start companies. Some go deeper into a specialty.

The skills you build here β€” ownership, disciplined code, production systems, design thinking β€” compound across your entire career. Treat this role as a deliberate learning opportunity. Set goals. Track progress. You’re not just working; you’re building.

16. Projects That Actually Matter

Better to have 1 solid project than 10 half-done ones. Pick a project that solves a real problem, uses relevant tech, and is complete: designed, built, tested, deployed. Keep it live and documented. Have a GitHub link ready.

Be ready to talk about it: What problem did it solve? Why those design choices? What would you improve? What did you learn?

Depth beats novelty: Hardening one project (adding tests, handling edge cases, optimizing, documenting) shows more real engineering than ten tutorial clones. This mirrors what the Technical Architect, Data Engineering role actually is.

Bonus: open-source contributions. Even small, accepted PRs show you can work in existing codebases and do code review β€” which is exactly what you’ll do at Snowflake.

17. Protect Yourself: How to Spot Scams

Rule 1: Never pay money for a job. No registration fee. No “security deposit.” No training cost. Real employers don’t ask. If someone is asking for money, it’s a scam.

Rule 2: Apply only through official channels. The button on this page goes to Snowflake’s real careers portal. Don’t click links in random messages or emails. Go to the official website yourself.

Rule 3: Be careful with personal data. Don’t send your bank details or ID before you’re sure the offer is real. Confirm through the company’s official email, not messages.

If you think you’ve been scammed: Stop communicating, save the evidence, and report it. We never charge candidates, and neither does any real employer.

18. Quick Answers to Questions You Might Have

Is this job real?
Yes. The apply button links to the official Snowflake career portal. TechJobs360 doesn’t charge candidates.

How much will I actually earn?
Snowflake has not disclosed pay for this role. Ask the recruiter for the band in your first call rather than waiting for the offer. Use our salary calculator to see your actual monthly pay. Confirm exact numbers in the offer letter.

Am I eligible?
Usually B.E/B.Tech/MCA, batch 2024–2026, 60%+ grade. Check the official portal for exact requirements. If you’re close, apply anyway β€” companies care about potential.

How many interview rounds?
Usually: online test, 1–2 technical interviews, HR round. Exact format varies β€” ask Snowflake recruiter for details.

How do I apply?
Use the big blue button on this page. Prepare a good resume first. That’s it.

Ready? Here’s What Happens Next

The Technical Architect, Data Engineering role at Snowflake (IN-Pune) is a real opportunity. Pay is not published, so ask the recruiter early. The real value? Learning fast, building real products, working with good engineers. That stays with you forever.

Here’s the timeline:

  1. Read this page. Understand the role, the interview process, what you need to prepare.
  2. Spend 1 month preparing. Code problems, projects, resume. Actual focus, not cramming.
  3. Click the apply button. Fill out the application. Be honest and clear.
  4. Do the interviews. Think out loud. Show your reasoning. You’ll either get it or learn something.

If you don’t have all the skills yet, don’t wait. Use this as a study goal. Hiring teams value growth and potential as much as what you know today.

When you’re ready, use the apply button below. One click. That’s all that’s between you and an opportunity.

Don’t overthink it. Apply now.

πŸ‘‰ Apply for Technical Architect, Data Engineering at Snowflake
100% Free & Verified Official Application Link

Disclaimer: TechJobs360 is an independent career-information platform and is not the employer for this role. Job details, eligibility, compensation, and deadlines are set by Snowflake and may change without notice; figures shown here are indicative. Always verify the current details on the official portal before applying. We never charge candidates a fee.

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