Senior Data Architect

3 days ago

Anantapur, Andhra Pradesh, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 22,00,000

About Cvent

At the forefront of meetings, events, and hospitality technology lies a comprehensive event marketing and management platform that empowers marketers and event professionals. A team of 4,800+ employees worldwide serves over ~22,000 customers with diverse needs.

Our unique culture fosters individual entrepreneurship, encouraging decision-making as if each employee had founded the company themselves. We value differences, celebrating diversity in our workplace and relationships with clients.

About the Role

Lead data solutions using Snowflake Data Cloud expertise. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

Key Responsibilities:

  • Design and implement scalable data solutions on Snowflake.
  • Utilize deep understanding of data warehousing concepts for 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 API-based integrations and automation.
  • Drive 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.
  • Data governance, security, and compliance background.
  • Performance optimization and cost management skills.
  • Experience with Snowflake infrastructure management.
  • Excellent communication and stakeholder management.

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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