Cloud Data Architect

15 hours ago

Belgaum, Karnataka, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title

About Us

We're a leading meetings, events, and hospitality technology provider with over 4,800 employees and ~22,000 customers worldwide. We deliver a comprehensive event marketing and management platform for marketers and event professionals.

The DNA of our organization is our people, and our culture emphasizes fostering intrapreneurship – a system that encourages team members to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves.

At our organization, we value diverse perspectives that each individual brings. Whether working with a team or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role

We're seeking an IT Professional with 4-12 years of hands-on experience in Snowflake Data Cloud to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/ML concepts.

  • 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.
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
  • 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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