Role & responsibilities
Design, implement, and manage cloud-based solutions on AWS and Snowflake.
Work with stakeholders to gather requirements and design solutions that meet their needs.
Develop and execute test plans for current solutions
Oversee and design the information architecture for the data warehouse, including all information structures such as staging area, data warehouse, data marts, and operational data stores.
Ability to Optimize Snowflake configurations and data pipelines to improve performance, scalability, and overall efficiency.
Deep understanding of Data Warehousing, Enterprise Architectures, Dimensional Modeling, Star & Snowflake schema design, Reference DW Architectures, ETL Architect, ETL (Extract, Transform, Load), Data Analysis, Data Conversion, Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support




Significant experience working as a Data Architect with depth in data integration and data architecture for Enterprise Data Warehouse implementations (conceptual, logical, physical & dimensional models)
Maintain Documentation: Develop and maintain detailed documentation for data solutions and processes.
Provide Training: Offer training and leadership to share expertise and best practices with the team
Collaborate with the team and provide leadership to the data engineering team, ensuring that data solutions are developed according to best practices

Preferred candidate profile
Snowflake, DBT, Data Architecture Design experience in Data Warehouse.
Positive to have Informatica or any ETL Knowledge or Hands-On Experience
Valuable to have Databricks understanding
5+ years of IT experience with 3+ years of Data Architecture experience in Data Warehouse, 4+ years in Snowflake

📌 Snowflake Developer Pune (India)
🏢 VBeyond
📍 India