Role description
Data Architect Experience: 14-17 Years Role Overview The Data Architect will design and implement scalable, highperformance data architectures supporting cloud migration and analytics initiatives. This role bridges enterprise architecture and handson data engineering leadership. Key Responsibilities Design endtoend data architectures including ingestion, processing, storage, and analytics layers. Develop conceptual, logical, and physical data models. Lead modernization of legacy data platforms to cloud-native lakehouse architectures. Architect Snowflake environments including schemas, warehouses, roles, and security models. Define data standards, patterns, and best practices. Guide teams on ETL/ELT design, performance optimization, and cost management. Support DevOps enablement including CI/CD for data platforms. Work closely with product, analytics, and business teams to translate requirements into solutions. Required Skills & Experience 14+ years in data architecture and data engineering roles. Strong hands-on experience with Snowflake (design, admin, performance tuning). Experience with Iceberg / Delta Lake / Hudi lakehouse formats. Excellent SQL and data modeling skills (3NF, star/snowflake schemas). Knowledge of streaming and batch processing frameworks. Experience with cloud DevOps, automation, and IaC (Terraform, Azure DevOps, etc.). Strong communication and leadership skills.
Data Architect Experience: 14-17 Years Role Overview The Data Architect will design and implement scalable, highperformance data architectures supporting cloud migration and analytics initiatives. This role bridges enterprise architecture and handson data engineering leadership. Key Responsibilities Design endtoend data architectures including ingestion, processing, storage, and analytics layers. Develop conceptual, logical, and physical data models. Lead modernization of legacy data platforms to cloud-native lakehouse architectures. Architect Snowflake environments including schemas, warehouses, roles, and security models. Define data standards, patterns, and best practices. Guide teams on ETL/ELT design, performance optimization, and cost management. Support DevOps enablement including CI/CD for data platforms. Work closely with product, analytics, and business teams to translate requirements into solutions. Required Skills & Experience 14+ years in data architecture and data engineering roles. Strong hands-on experience with Snowflake (design, admin, performance tuning). Experience with Iceberg / Delta Lake / Hudi lakehouse formats. Excellent SQL and data modeling skills (3NF, star/snowflake schemas). Knowledge of streaming and batch processing frameworks. Experience with cloud DevOps, automation, and IaC (Terraform, Azure DevOps, etc.). Strong communication and leadership skills.