Chief Snowflake Architect

5 days ago

Solapur, Maharashtra, India beBeeData Full time ₹ 90,00,000 - ₹ 2,10,00,000
Senior Data Engineer Snowflake

About the Company

We're a leading provider of event marketing and management platform with over 4,800 employees and ~22,000 customers worldwide.

Our DNA is our people, and our culture emphasizes fostering intrapreneurship – a system that encourages individuals to think and act like entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves.

We value diverse perspectives and foster a culture that celebrates differences and builds on shared connections.

  • Job Description:
  • Create and implement scalable data solutions using Snowflake.
  • Demonstrate expertise in data warehousing concepts and work with structured, semi-structured, and unstructured data.
  • Develop deep understanding of Snowflake architecture (compute, storage, security, data sharing).
  • Design and build 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.
  • Foster innovation in data architecture, analytics, and AI-driven solutions.
  • Collaborate with cross-functional teams.

Requirements

Skills and Qualifications:

  • Bachelor's/master's in computer science, IT, or related field.
  • 4-12 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.

Preferred Qualifications

Prior Experience:

  • Familiarity with data modelling, Python, Pyspark, and warehousing best practices.
  • Exposure to MLOps, AI/ML pipelines, or deploying AI models.
  • Snowflake or relevant cloud certifications.

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