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Senior Snowflake Platform Operations Engineer (L2/L3 Support + GenAI) | Hybrid | Direct Hire Chennai | Pune | Noida | Bangalore | Hyderabad (Hybrid) Permanent Role | 3 Openings Immediate hiring need Apply now. Active shortlisting in progress. About the Opportunity Our client, a fast-growing technology organization operating in advanced data and AI ecosystems, is expanding its Snowflake Platform Operations team. This is a high-impact role for a mid-level engineer who combines strong Snowflake administration expertise with hands-on exposure to GenAI and Cortex-driven workloads. You will play a key role in maintaining platform stability, optimizing performance, and supporting enterprise-grade AI-enabled data solutions. If you enjoy solving production challenges and improving data platform reliability at scale this opportunity is built for you. Key Responsibilities Deliver L2L3 platform support including provisioning, root cause analysis, and workflow optimization Own incident response and service restoration for Snowflake-based workloads Design and evolve Snowflake schemas and data models Optimize platform performance, governance, and RBAC structures Operate and fine-tune Snowflake Cortex / GenAI use cases (vector search, retrieval workflows, LLM-driven tasks) Drive automation initiatives to enhance operational efficiency Improve data pipelines and platform reliability Mentor junior engineers and collaborate with cross-functional stakeholders Required Experience & Skills 47 years of experience in data engineering or platform operations Strong expertise in Snowflake administration (RBAC, performance tuning, optimization) Advanced SQL proficiency Experience with ETL tools Python and/or DBT exposure preferred Hands-on experience with GenAI / LLM technologies (Snowflake Cortex strongly preferred) Strong service delivery discipline and stakeholder communication skills GCP exposure is a plus Whats in It for You Compensation: 25 LPA 40 LPA (based on experience and expertise) Hybrid work model across major technology hubs Direct exposure to GenAI, Cortex, and enterprise AI initiatives Strong career growth into senior platform or AI-focused engineering roles Opportunity to work on cutting-edge Snowflake ecosystems High-visibility role with ownership of critical data infrastructure Impact-driven work in a performance-focused environment Location Details Chennai / Pune / Noida Hybrid model at respective office locations Hyderabad Client-facing work environment (details shared during interview process) Bangalore Hybrid model If you are a Snowflake platform specialist looking to work at the intersection of Data Engineering and GenAI this is your next move. Apply today to be considered. Interviews are being scheduled immediately. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.