Data Architect

V Group Inc.; Kentucky; On-site; USD 110,000 - 150,000; Full time

Job summary

V Group Inc. is seeking a Data Architect to design, implement, and maintain our data architecture for scalability, integrity, and accessibility. You will leverage modern cloud platforms like Snowflake to support advanced analytics and scalable data solutions.

The role emphasizes enterprise data modeling, data governance, and seamless integration across systems. The ideal candidate has extensive experience with Snowflake, cloud data warehouses, and ETL/ELT processes, collaborating with analysts

Qualifications

• 5+ years in Data Architecture and data modeling.

Responsibilities

• Develop and maintain enterprise data models, schemas, and standards.
• Define data flows and integration patterns between systems, including Snowflake.
• Oversee logical and physical database design for performance and scalability.
• Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.
• Establish data quality, security, and compliance standards.
• Implement metadata management and maintain a data dictionary.
• Design and optimize ETL/ELT processes for data warehousing and analytics.
• Apply hands-on experience with Snowflake ingestion and transformation capabilities.
• Ensure interoperability between on-premises and cloud systems.
• Work with business analysts, developers, and stakeholders to translate requirements into data solutions.
• Evaluate emerging technologies, including cloud, big data, and AI/ML, for potential adoption.
• Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.

Skills

Data Architecture

Data Modeling

Database Design

Tools

SQL Server

Oracle

RDBMS

Azure

AWS

Snowflake

ETL Tools

APIs

Integration Frameworks

Job description

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.

Responsibilities

• 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.
• Apply hands‑on experience with Snowflake ingestion and transformation capabilities.
• Ensure interoperability between on‑premises and cloud systems.
• Work with business analysts, developers, and stakeholders to translate requirements into data solutions.

Performance & Security

• Ensure data architecture meets performance SLAs and security requirements.
• Implement encryption, access controls, and audit mechanisms across traditional DBMS and Snowflake environments.
• Evaluate emerging technologies, including cloud, big data, and AI/ML, for potential adoption.
• Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.

Required/Preferred Skills

• Data Architecture, Database Design & Data Modeling: 5+ years — Required
• SQL Server, Oracle, or Similar RDBMS: 5+ years — Required
• Cloud Platforms such as Azure or AWS: 5+ years — Required
• ETL Tools, APIs, and Integration Frameworks: 5+ years — Required
• Modern Cloud Data Warehouses such as Snowflake: 5+ years — Required