Advanced Data Architect

3 days ago

Ghaziabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Opportunity

We are seeking an experienced Snowflake Engineer to join our team and design, implement, and maintain data warehousing solutions that form the backbone of our analytics and intelligence platform.

You will be hands-on in query performance tuning, schema design, and advanced SQL engineering—pushing Snowflake to its limits to deliver high-performance, enterprise-grade solutions.

  • Key Responsibilities:
  • Design and develop advanced Snowflake SQL queries, stored procedures, and UDFs for large-scale analytics.
  • Architect efficient data models and schema structures (star, snowflake, and hybrid models) to optimize performance.
  • Build, monitor, and optimize ETL/ELT pipelines leveraging Snowflake's native features (Snowpipe, Streams, Tasks).
  • Conduct deep query performance tuning to handle billions of rows with speed and accuracy.
  • Implement and manage role-based security, data masking, and governance within Snowflake.
  • Closely collaborate with data engineers, analysts, and product teams to translate requirements into high-performing data solutions.
  • Integrate Snowflake with other cloud platforms and BI tools.
  • Own and maintain best practices for cost optimization, clustering, and partitioning within Snowflake.
  • Document architecture, queries, and processes for scalability and knowledge sharing.
  • Provide technical mentorship and guidance on Snowflake best practices.
Requirements
  • 5+ years of hands-on experience with Snowflake, including query writing, optimization, and architecture.
  • Proven expertise in writing highly complex SQL queries that scale across very large datasets.
  • Strong understanding of data warehousing concepts, dimensional modeling, and analytics-driven design.
  • Demonstrated success in query performance tuning and cost optimization in Snowflake.
  • Proficiency with ETL/ELT workflows, including Snowpipe, Streams, and Tasks.
  • Expertise in Python or other programming languages for data transformation and orchestration.
  • Solid knowledge of AWS services and integration with Snowflake.
  • Familiarity with caching and real-time frameworks such as Redis.
  • Strong background in SQL and NoSQL databases, with a focus on analytical workloads.
  • Experience implementing CI/CD pipelines for data workflows.
  • Excellent problem-solving skills and the ability to push Snowflake to its technical limits.
  • Hands-on experience in fast-paced startup or high-growth environments.

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