Enterprise Data Solution Architect

3 days ago

Tirupati, Andhra Pradesh, India beBeeData Full time ₹ 1,95,00,000 - ₹ 2,59,50,000

About this opportunity

We're seeking a talented Data Architect to lead the design, implementation, and optimization of scalable data solutions.

The ideal candidate will have extensive experience with 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.
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 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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