
Snowflake Architect/ Lead
12 hours ago
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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