Snowflake Architect, Data Warehousing

Cvent; Gurugram District; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

A leading technology solutions company is seeking an IT Professional with 9-14 years of experience in the Snowflake Data Cloud to lead innovative data solution design and implementation. Responsibilities include optimizing data architecture, ensuring data governance, and collaborating with teams to drive efficient data solutions. The ideal candidate will have extensive Snowflake experience, a background in data warehousing, and a hands-on approach with Python for automation. This role is pivotal in optimizing performance and enhancing AI-driven solutions.

Qualifications

• 9-14 years of hands-on Snowflake Data Cloud experience.
• Hands-on Snowflake architecture and data warehousing knowledge.
• Hands-on Python for data engineering/automation.

Responsibilities

• Architect and deliver end-to-end data solutions on Snowflake.
• Demonstrate deep understanding of data warehousing concepts.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
• Act as primary stakeholder contact and translate business needs.

Skills

Snowflake Data Cloud experience

Data warehousing concepts

API integration and automation

Performance optimization

Excellent communication

Hands-on Python experience

Innovative AI-driven mindset

Education

Bachelor’s/master’s in computer science, IT, or related field

Job description

Role Overview

Looking for an IT Professional with 9-14 years of hands‑on Snowflake Data Cloud experience to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

Key Responsibilities

• Architect and deliver end‑to‑end data solutions on Snowflake.
• Demonstrate deep understanding of data warehousing concepts and work with structured, semi‑structured, and unstructured data.
• Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing).
• Use Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation.
• Develop and manage API‑based integrations and automation.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
• Act as primary stakeholder contact; drive meetings and translate business needs.
• Foster innovation in data architecture, analytics, and AI‑driven solutions.
• Collaborate with cross‑functional teams.
• Stay current on Snowflake advancements, especially AI features like Cortex.
• Proactively perform POCs for new Snowflake features & drive adoptions.
• Leverage data lake frameworks & serverless technologies

Required Skills & Qualifications

• Bachelor’s/master’s in computer science, IT, or related field.
• 8+ years of Snowflake Data Cloud experience.
• Deep understanding of Snowflake architecture and ecosystem.
• Strong grasp of data warehousing concepts and diverse data structures.
• Expertise in Snowflake native load utilities.
• API integration and automation experience.
• Data governance, security, and compliance background.
• Performance optimization and cost management skills.
• Experience with Snowflake infrastructure management.
• Excellent communication and stakeholder management.
• Innovative, AI‑driven mindset.
• Hands‑on Python for data engineering/automation.
• Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex).
• Experience with data lake frameworks and serverless technologies.