Data Solutions Leader

2 days ago

Rajkot, Gujarat, India beBeeData Full time ₹ 18,00,000 - ₹ 21,00,000
Data Architect Position

About Us

We are a leading provider of meetings, events, and hospitality technology with over 4,800 employees and more than 22,000 customers worldwide. Founded in 1999, we deliver a comprehensive event marketing and management platform for marketers and event professionals.

Our company culture emphasizes fostering intrapreneurship – encouraging individuals to think and act like entrepreneurs and empowering 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.

About the Role:

This is an opportunity to lead the design, implementation, and optimization of scalable data solutions using Snowflake Data Cloud.

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 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.

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.
  • 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.

Preferred Qualifications:

  • 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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