Senior Snowflake Data Architect

7 days ago

Mangalore, Karnataka, India beBeeData Full time ₹ 1,57,83,000 - ₹ 2,02,69,000

About Cvent, a leading meetings and events technology provider, we're transforming the industry through innovative solutions that power human connections.

Our culture fosters intrapreneurship – encouraging individuals to think and act like entrepreneurs, empowering them to take action, embrace risk, and make decisions as if they'd founded the company themselves. We celebrate diverse perspectives and build on shared connections.

Job Description:

Lead the design, implementation, and optimization of scalable data solutions on Snowflake Data Cloud. Demonstrate expertise in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

  • Architect end-to-end data solutions on Snowflake
  • Deep understanding of data warehousing concepts and working with structured, semi-structured, and unstructured data
  • Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing)
  • Use Snowpipe and 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 and drive adoptions
  • Leverage data lake frameworks and serverless technologies
Required 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
  • 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 include familiarity with data modelling, Python, Pyspark, and warehousing best practices, exposure to MLOps, AI/ML pipelines, or deploying AI models, and Snowflake or relevant cloud certifications.

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