Snowflake Solution architect

Job Title : Snowflake Solution Architect

Experience : 12 to 15 Years

Location : [Specify – Onsite / Hybrid / Remote]

Employment Type : Full-time / Permanent

Job Summary :

We are looking for an experienced Snowflake Solution Architect to design, implement, and optimize enterprise data solutions using Snowflake on cloud platforms. The ideal candidate will have strong expertise in data architecture, cloud data warehousing, and analytics , with a proven track record of delivering scalable and high-performance data solutions.

Key Responsibilities :

Lead end-to-end architecture, design, and implementation of Snowflake-based data solutions.

Develop data models, data pipelines, and ETL / ELT frameworks integrating multiple data sources.

Provide technical leadership and mentorship to the data engineering team.

Define and enforce data governance, data quality, and security standards .

Work closely with stakeholders to translate business requirements into technical solutions .

Optimize Snowflake performance including query tuning, warehouse sizing, and cost management .

Collaborate with cloud architects (AWS / Azure / GCP) to ensure seamless integration.

Evaluate and recommend modern data tools and technologies to enhance the data ecosystem.

Participate in code reviews, architecture reviews, and technical documentation .

Technical Skills Required :

Strong hands-on experience with Snowflake Solution architect (architecture, performance tuning, data sharing, time travel, etc.)

Proficiency in SQL, Python, and ETL / ELT tools (e.g., Informatica, dbt, Talend, Matillion, etc.)

Experience with Cloud Platforms : AWS (preferred), Azure, or GCP.

Good understanding of data modeling techniques (Kimball, Data Vault, etc.)

Experience with data lakes, lakehouses, and real-time streaming (Kafka, Spark, etc.)

Knowledge of CI / CD, automation, and orchestration tools (Airflow, Jenkins, Git).

Understanding of security, access controls, and data privacy compliance .