Sr. Data Architect - Data Engineering 3

About the role

Senior Snowflake Architect to design and deliver enterprise-scale cloud data platform solutions for global clients. This role combines deep technical ownership of the Snowflake platform with client-facing leadership — driving data modernization, AI/ML enablement, and platform adoption across client engagements.

What you'll do

• Design and own end-to-end data architecture on Snowflake (databases, schemas, warehouses, Snowpipe, Streams & Tasks) across AWS/Azure/GCP
• Lead client discovery, solutioning, and technical presentations to translate business requirements into scalable Snowflake architectures
• Architect data pipelines for batch and near-real-time ingestion (Snowpipe, Snowpipe Streaming, external stages, CDC integration)
• Define standards for data governance, security, and access control using Snowflake-native features (RBAC, row/column-level security, masking policies, Horizon governance)
• Guide advanced platform capabilities — Snowpark (Python/Java/Scala), Cortex AI/ML functions, and Snowflake Native Apps

What you need

• 6–10 years in data science & ai
• SQL
• Snowflake
• AWS
• ETL
• LLMs
• Data modelling
• B.Tech or B.E. or B.Sc or BCA or BBA

Good to have

• Computer vision
• dbt
• Airflow
• Hadoop
• Informatica
• Databricks

What you get