Description

Key Responsibilities
Data Architecture Design
 

Develop and maintain enterprise data models, schemas, and standards. 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.

Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.

Data Governance
 

Establish data quality, security, and compliance standards. 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.

Ensure interoperability between on-prem and cloud systems.

Collaboration
 

Work with business analysts, developers, and stakeholders to translate requirements into data solutions.

Provide guidance on data modeling best practices.

Performance & Security
 

Ensure data architecture meets performance SLAs and security requirements. 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. Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.

The successful candidate may have to undergo a drug test and background check.

Key Skills

Education

Any Graduate