Snowflake Data Architect

Senior Snowflake Data Architect

Industry: Manufacturing

Location: Remote, US

Job Type: Contract

Contract Length: 6 months initially, with potential for extension

About the Role

We are partnering with a leading manufacturing organization seeking a Senior Snowflake Data Architect to support its data platform modernization initiatives. The organization is investing in its cloud data infrastructure to improve operational visibility, reporting, supply chain analytics, and data-driven decision-making across the business.

The successful candidate will lead the design and development of scalable Snowflake solutions, working closely with data engineering teams, IT leadership, and business stakeholders to transform complex operational data into reliable, actionable insights.

Key Responsibilities

• Design and implement scalable data architectures using Snowflake and modern cloud technologies.
• Lead data warehouse modernization and migration initiatives, consolidating data from multiple manufacturing and enterprise systems.
• Develop data models supporting manufacturing operations, production performance, inventory management, supply chain, procurement, and financial reporting.
• Establish best practices for ELT pipelines, data quality, governance, security, and platform performance.
• Work with ERP, MES, CRM, supply chain, and other operational data sources to create a unified data environment.
• Build and optimize data transformation workflows using Snowflake SQL, dbt, Python, and related technologies.
• Improve data availability, consistency, and reliability across manufacturing and business operations.
• Collaborate with stakeholders to translate business requirements into technical architecture and delivery plans.
• Provide technical leadership and guidance to data engineers and analytics teams.
• Identify opportunities to leverage Snowflake Cortex and AI-driven analytics to improve operational efficiency.

Required Qualifications

• 8+ years of experience in data engineering, data architecture, or cloud data platform development.
• Extensive hands-on experience with Snowflake architecture and implementation.
• Strong SQL, data modeling, and data warehouse design skills.
• Experience with dbt and modern ELT pipeline development.
• Experience integrating data from complex enterprise systems.
• Familiarity with manufacturing data domains, such as ERP, production, inventory, logistics, or supply chain.
• Experience with AWS, Azure, or GCP.
• Strong understanding of data governance, security,