Snowflake Architect-AI and Data Solutions Engineer

Design, develop, and maintain scalable Snowflake data warehouse solutions including data migration, integration, governance, and optimization.

Lead cross-functional teams by providing technical guidance, mentoring junior team members, and managing project delivery including architecture preparation, sprint planning, and status reporting.

Implement robust security (RBAC), automate monitoring for data quality and platform health, and ensure compliance with industry standards (HIPAA, GDPR).

6-9 years of experience in data architecture with at least 2 years focused on Snowflake.

Hands-on expertise with Snowflake advanced features: Streams, Tasks, Zero Copy Cloning, Data Sharing.

Proficiency in SQL and one or more scripting languages (Python or Spark), and experience with ETL/ELT tools (Informatica, Talend, Matillion, Fivetran, etc.).

Degree: BE/B.Tech/MCA/MSc or equivalent from an accredited university; Familiarity with cloud platforms (AWS, Azure, GCP).

Experienced in leading enterprise-scale Snowflake data platform projects including migration from traditional data warehouses like Teradata or Redshift.

Skilled in designing efficient data architectures, ETL pipelines, and automation to drive operational efficiency and cost optimization.

Able to collaborate with business stakeholders and technical teams, providing clear technical documentation, workshops, and mentoring for sustainable solution delivery.