Group Technical Architect
Group Technical Architect
Job Summary
• Design and implement scalable enterprise data architectures using Snowflake, covering data warehousing, data lakes, and modern analytics solutions.
• Define data models, architecture patterns, ingestion frameworks, ELT/ETL strategies, and performance optimization standards.
• Strong hands-on expertise in Snowflake, SQL, Snowpark, Streams & Tasks, Dynamic Tables, RBAC, data sharing, and performance tuning.
• Architect integrations with cloud platforms such as Azure/AWS, along with tools such as dbt, Informatica, Matillion, ADF, or similar data engineering technologies.
• Provide technical leadership on data governance, security, scalability, cost optimization, architecture reviews, and migration of enterprise workloads to Snowflake.
Key Responsibilities
• Design and implement scalable enterprise data architectures using Snowflake, covering data warehousing, data lakes, and modern analytics solutions.
• Define data models, architecture patterns, ingestion frameworks, ELT/ETL strategies, and performance optimization standards.
• Strong hands-on expertise in Snowflake, SQL, Snowpark, Streams & Tasks, Dynamic Tables, RBAC, data sharing, and performance tuning.
• Architect integrations with cloud platforms such as Azure/AWS, along with tools such as dbt, Informatica, Matillion, ADF, or similar data engineering technologies.
• Provide technical leadership on data governance, security, scalability, cost optimization, architecture reviews, and migration of enterprise workloads to Snowflake.
Skill Requirements
• Design and implement scalable enterprise data architectures using Snowflake, covering data warehousing, data lakes, and modern analytics solutions.
• Define data models, architecture patterns, ingestion frameworks, ELT/ETL strategies, and performance optimization standards.
• Strong hands-on expertise in Snowflake, SQL, Snowpark, Streams & Tasks, Dynamic Tables, RBAC, data sharing, and performance tuning.
• Architect integrations with cloud platforms such as Azure/AWS, along with tools such as dbt, Informatica, Matillion, ADF, or similar data engineering technologies.
• Provide technical leadership on data governance, security, scalability, cost optimization, architecture reviews, and migration of enterprise workloads to Snowflake.