Snowflake Architect

Confiz is seeking an experienced Snowflake Data Platform Architect / Lead Engineer to design, build, and operationalize a modern enterprise Snowflake data platform from the ground up. This role will lead platform architecture, data engineering, governance, security, automation, performance optimization, and production operations while partnering with business, analytics, infrastructure, and security teams.

• Design and implement enterprise Snowflake architecture, including databases, schemas, virtual warehouses, RBAC, networking, security, governance, and environment strategy (Dev/Test/Prod).
• Build scalable batch, CDC, streaming, and real-time data ingestion pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, APIs, cloud storage, and ETL/ELT tools.
• Develop enterprise data models including raw, staging, curated, dimensional, semantic, and analytics layers using star schema, Data Vault, and modern data warehouse practices.
• Implement security, governance, compliance, masking, row/column-level security, object tagging, lineage, and access policies.
• Optimize Snowflake performance through warehouse tuning, clustering, query optimization, resource monitoring, and cost management.
• Establish CI/CD and Data Ops processes using Git, Terraform, dbt, Azure Dev Ops, Git Hub Actions, Flyway, Liquibase, or similar tools.
• Build operational monitoring, alerting, disaster recovery, backup, replication, and production support processes.
• Enable secure data sharing and integration with BI platforms including Power BI, Tableau, Looker, and other analytics tools.
• Lead technical design sessions, mentor engineering teams, define enterprise standards, and support modernization initiatives.

• 10+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Warehousing.
• 5+ years of hands‑on Snowflake experience in enterprise production environments.
• Proven experience designing and deploying Snowflake platforms from the ground up.
• Strong expertise in SQL, Snowflake architecture, performance tuning, security, RBAC, data governance, and workload optimization.
• Experience with AWS, Azure, or Google Cloud Platform.
• Hands‑on experience with ETL/ELT technologies such as dbt, Informatica, Matillion, Fivetran, Airflow, ADF, Glue, or similar.
• Experience implementing CI/CD, Infrastructure-as-Code, automated deployments, and Data Ops practices.
• Excellent communication skills with the ability to collaborate across technical and business teams.