Snowflake Data Architect

Job Title: Snowflake Data Engineer / Data Architect

Location: [Specify Location or Remote]

Job Type: [Full-time / Contract]

Job Summary:

We are looking for a highly skilled Snowflake Data Engineer / Architect with expertise in data cloud solutions, data modeling, and data warehousing. The ideal candidate should have hands-on experience in Snowflake architecture, data pipeline development, and ETL processes. A SnowPro certification is highly preferred.

Key Responsibilities:

• Design, implement, and optimize Snowflake-based data solutions.
• Develop data models and data architecture strategies for scalable and efficient data management.
• Implement best practices in data security, access control, and compliance.
• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and other data tools.
• Collaborate with data analysts, BI teams, and business stakeholders to deliver insightful analytics solutions.
• Automate deployment and data workflows using CI/CD pipelines.

Required Skills & Qualifications:

5+ years of experience in data engineering, data architecture, or related fields.

Strong hands-on experience with Snowflake Data Cloud.

Expertise in data modeling, schema design, and performance tuning in Snowflake.

Knowledge of SQL, Python, or Scala for data processing and transformations.

Experience in data warehousing concepts, ETL/ELT pipelines, and cloud storage.

Familiarity with Snowflake best practices including role-based access control (RBAC), Snowpipe, and Time Travel.

Hands-on experience with Airflow, DBT, or similar workflow orchestration tools.

Experience with Snowflake integrations such as Kafka, Apache Spark, or BI tools (Tableau, Power BI, Looker).

SnowPro Core / Advanced Certification (preferred but not mandatory).