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Chief Data Strategist

3 weeks ago

Meerut, Uttar Pradesh, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

About us

We are a leading technology provider with a strong presence in the global events industry. Our comprehensive event marketing and management platform empowers marketers and event professionals to succeed.

Our company DNA is based on intrapreneurship – an environment that encourages individuals to think and act like entrepreneurs. We celebrate diversity and value individual perspectives.

About the Role

We are seeking an experienced IT professional with 4-12 years of hands-on Snowflake Data Cloud expertise to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate must have a deep understanding of data warehousing concepts and experience working with structured, semi-structured, and unstructured data.

Key Responsibilities:

  • Architect and deliver end-to-end data solutions on Snowflake.
  • Demonstrate expertise in Snowflake architecture (compute, storage, security, data sharing).
  • Apply knowledge of Snowflake native load utilities 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.
  • 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.

Requirements:

  • Bachelor's or master's degree 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.
  • Hands-on Python for data engineering/automation.
  • Knowledge of AI, LLMs, and Snowflake AI features.

Preferred Requirements:

  • 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.