Senior Data Architect

7 days ago

Vellore, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role:

We are seeking an experienced IT Professional to lead the design, implementation, and optimization of scalable data solutions on Snowflake. The ideal candidate will have hands-on experience with Snowflake Data Cloud and a deep understanding of data warehousing concepts.

  • Design and deliver end-to-end data solutions on Snowflake, utilizing expertise in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.
  • Demonstrate a strong grasp of data warehousing concepts and diverse data structures, with the ability to work with structured, semi-structured, and unstructured data.
  • Apply deep expertise in Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation, and develop and manage API-based integrations and automation.
  • Lead data governance, quality, security, and compliance efforts, and optimize performance and manage costs.
  • Oversee Snowflake infrastructure provisioning, scaling, and monitoring, and act as primary stakeholder contact, driving meetings and translating business needs.
  • Foster innovation in data architecture, analytics, and AI-driven solutions, and collaborate with cross-functional teams.
  • Stay current on Snowflake advancements, especially AI features like Cortex, and proactively perform POCs for new Snowflake features and drive adoptions.

Key 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.

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