Snowflake Architect

Key Responsibilities:

• Lead the architecture, design, and deployment of scalable and secure Snowflake solutions.
• Collaborate with data engineers, analysts, and business stakeholders to define technical requirements.
• Develop and optimize data pipelines for ingestion and transformation using Snowflake and related tools.
• Implement performance tuning and workload management strategies in Snowflake.
• Drive data governance, security, and compliance standards in Snowflake.
• Design data models for analytics, reporting, and machine learning.
• Integrate Snowflake with various ETL/ELT tools, APIs, and BI platforms.
• Mentor junior team members and lead data architecture reviews.

Required Skills & Experience:

• 10+ years of experience in data engineering, cloud data architecture, or similar roles.
• 5+ years of hands-on experience architecting solutions on Snowflake.
• Strong expertise in SQL, performance tuning, and cost optimization within Snowflake.
• Experience with ETL/ELT tools like DBT, Informatica, Talend, Apache Airflow, etc.
• Knowledge of data modeling (dimensional, star/snowflake schema) and metadata management.
• Proficiency in cloud platforms (AWS, Azure, or GCP) with integration experience.
• Familiarity with Python, Scala, or Spark for data transformation tasks.
• Solid understanding of CI/CD pipelines, version control, and DevOps in a data context.
• Strong knowledge of data security, RBAC, and compliance best practices.

Nice to Have:

• Snowflake certification (SnowPro Core or Advanced Architect).
• Experience integrating Snowflake with Power BI, Tableau, or Looker.
• Background in financial services or Banking  domains is a plus.