Data Architect

Data Architecture Design Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake. Database Management Oversee logical and physical database design for performance and scalability. o Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management. Data Governance Establish data quality, security, and compliance standards. o Implement metadata management and maintain a data dictionary. Integration & ETL Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake’s ingestion and transformation capabilities. o Ensure interoperability between on-prem and cloud systems. Collaboration Work with business analysts, developers, and stakeholders to translate requirements into data solutions. o Provide guidance on data modeling best practices. Performance & Security Ensure data architecture meets performance SLAs and security requirements. o Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments. Innovation Evaluate emerging technologies (cloud, big data, AI/ML) for adoption. o Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.

Skill Required/Desired Amount of Experience experience in data architecture, database design, and data modeling Required 5.0 Years experience in SQL Server/Oracle or similar RDBMS Required 5.0 Years experience with Cloud Platforms(Azure, AWS) Required 5.0 Years experience with ETL tools, API//’s and integration framework Required 5.0 Years Expertise with modern cloud data warehouses such as Snowflake. Required 5.0 Years