Data Architect

The Data Architect is responsible for designing, implementing, and maintaining the organization’s data architecture to ensure data integrity, scalability, and accessibility. This role defines how data is stored, consumed, integrated, and managed across systems, aligning with business objectives and technology standards. The architect will also leverage modern cloud data platforms, including Snowflake, to support advanced analytics and scalable data solutions.

Key Responsibilities 

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.