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Job Title: Principal / Senior Snowflake Specialist (Cortex & Agentic AI Focus) Experience: 12+ Years Employment Type: Full time / Independent Contractor Location: Hybrid (Hyderabad) Role Overview We are seeking a highly experienced Senior Snowflake Specialist (12+ years) with deep architectural expertise in Snowflake and strong hands-on experience building AI-powered data platforms using Snowflake Cortex and Agentic AI patterns. This role is not limited to traditional data warehousing. The ideal candidate should have experience designing enterprise-scale Snowflake environments and extending them into LLM-driven, agent-based intelligent systems, leveraging Cortex, RAG, semantic layers, and MCP-based tool integrations. The candidate must be capable of leading architecture discussions with US stakeholders while remaining hands-on in implementation. Required Qualifications Experience 12+ years in Data Engineering / Data Architecture 5+ years of deep Snowflake hands-on experience Proven experience building enterprise-grade Snowflake deployments Experience delivering AI/LLM-based production solutions Technical Expertise Snowflake Deep understanding of Snowflake architecture internals Advanced SQL and query optimization expertise Experience with governance, security, and data sharing frameworks Cost optimization at enterprise scale Cortex & LLM Systems Strong understanding of: LLM fundamentals Prompt engineering Embeddings RAG architectures Agent-based orchestration Experience implementing Cortex AI functions in production Integration & Protocol Knowledge Strong understanding of MCP (Model Context Protocol) or similar agent communication patterns Experience building tool-based AI agents API design and integration expertise Knowledge of hybrid AI architectures (vector + structured) .
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.