Data Architecture Specialist

3 days ago

Alwar, Rajasthan, India beBeeSnowflake Full time ₹ 20,47,963 - ₹ 25,59,896
Data Architect OpportunityAbout the Role -
The role is responsible for leading the design, implementation, and optimization of scalable data solutions on Snowflake Data Cloud. The ideal candidate will excel in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.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.
  • Stay current on Snowflake advancements, especially AI features like Cortex.
  • Proactively perform POCs for new Snowflake features & drive adoptions.
  • Leverage data lake frameworks & serverless technologies
Requirements:
  • 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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