The Role
Design, implement, and maintain enterprise data architecture and models. Define data flows and integration patterns (on-prem and cloud), optimize ETL/ELT processes, manage Snowflake and RDBMS performance, enforce data governance, and collaborate with stakeholders to ensure secure, scalable analytics solutions.
Summary Generated by Built In
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.
Requirements
Skill
Required / Desired
Amount
of Experience
experience in data architecture, database design, and data modeling
Required
5
Years
Required
5
Years
experience in SQL Server/Oracle or similar RDBMS
Required
5
Years
Required
5
Years
experience with Cloud Platforms(Azure, AWS)
Required
5
Years
Required
5
Years
experience with ETL tools, API's and integration framework
Required
5
Years
Required
5
Years
Expertise with modern cloud data warehouses such as Snowflake.
Required
5
Years
Required
5
Years
Skills Required
- 5+ years in data architecture, database design, and data modeling
- 5+ years experience with SQL Server, Oracle, or similar RDBMS
- 5+ years experience with cloud platforms (Azure, AWS)
- 5+ years experience with ETL tools, APIs, and integration frameworks
- 5+ years expertise with Snowflake (cloud data warehouse, ingestion and transformation)
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The Company
What We Do
Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.
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