Snowflake Architect/ Lead

6 days ago

Chennai, Tamil Nadu, India Mindsprint Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Summary:

We are looking for a highly experienced Senior Lead Data Engineer / Architect specializing in
Snowflake data warehousing, with strong skills in Power BI
. The ideal candidate will have 8–10 years of experience in data engineering and analytics, with proven leadership in designing, implementing, and optimizing large-scale Snowflake architectures and developing high-impact business intelligence solutions using Power BI.

Key Responsibilities:

  • Lead the end-to-end architecture, design, and implementation of enterprise-grade data solutions on Snowflake.
  • Build and maintain complex data pipelines and advanced
    ETL/ELT frameworks,
    leveraging Snowflake's native features for scalability and performance.
  • Optimize Snowflake databases, warehouses, secure data sharing, and storage structures for cost and performance efficiency.
  • Collaborate with data architects and engineers to establish best practices for
    data governance, data security (RBAC, masking),
    and lifecycle management in Snowflake.
  • Leverage advanced Snowflake capabilities: Streams, Tasks, Time Travel, Zero Copy Cloning, Data Sharing, and Materialized Views.
  • Write highly optimized SQL queries, UDFs (user-defined functions), and scripts for large-scale analytics workloads.
  • Mentor junior developers in Snowflake best practices, performance tuning, and troubleshooting.
  • Drive integration between Power BI and Snowflake using native connectors and optimal data modeling.
  • Support data security implementation, including Row-Level Security (RLS) and Column-Level Security (CLS) in both Snowflake and Power BI.

Qualifications:

  • Bachelor's or master's degree in computer science, Information Systems, or related field.
  • 8 –12+ years of hands-on experience with enterprise data warehousing and analytics.
  • Minimum 4 years of proven experience implementing, optimizing, and maintaining
    Snowflake environments.
  • Deep expertise in
    Snowflake architecture
    , performance tuning, data modeling, security, and advanced features.
  • Expert-level SQL, DBT skills, with ability to author and optimize complex transformations and queries in Snowflake.
  • Experience with
    Power BI
    for large-scale reporting, including DAX scripting and Power Query.
  • Familiarity with data pipeline orchestration tools (e.g., Airflow, dbt) and scripting languages (Python preferred) is highly desirable.
  • Effective communication skills and the ability to lead technical discussions with stakeholders and mentor team members.
  • Strong analytical and troubleshooting abilities, with a track record of delivering data solutions in complex, large-scale environments.

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