Data Solutions Architect

1 day ago

Mysore, Karnataka, India beBeeData Full time US$ 1,86,900 - US$ 2,12,300
About Us

Cvent is a leading meetings, events and hospitality technology provider with over 4,800 employees and ~22,000 customers worldwide. Founded in 1999, our comprehensive event marketing and management platform delivers software solutions to help marketers and event professionals grow their group/MICE and corporate travel business.

We foster an environment of intrapreneurship - empowering us to think and act like entrepreneurs, take action, embrace risk and make decisions as if we had founded the company ourselves.

Our team seeks an IT professional with 4-12 years of hands-on Snowflake Data Cloud experience to lead the design, implementation and optimization of scalable data solutions.

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.
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).
Preferred Qualifications:
  • Familiarity with data modeling, 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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