Snowflake Data Architect

Data Architect

The Data Architect will be responsible for designing and implementing robust data architectures that support the organization's supply chain domain, Corp domain, and Finance domain data for Business Intelligence.

This role requires deep expertise in Snowflake, a strong understanding of supply chain, order management processes, and experience with SAP applications.

The ideal candidate will have a strategic mindset and the ability to translate business requirements into scalable data solutions.

Qualifications:

• Proven experience as a Technical Solution Architect, with a minimum of 12+ years in a similar role.

• Strong expertise in Snowflake, with hands-on experience in designing and implementing Datawarehouse solutions in Medallion architecture.

• In-depth knowledge of supply chain, sales, order processes and data requirements.

• Experience in integrating SAP, Salesforce, QAD, AS400 data into Snowflake data warehouses.

• Strong understanding of data modeling, data integration, and data governance best practices.

• Proficiency in SQL and other data management, data quality and Data profiling tools and technologies.

• Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.

• Strong problem-solving skills and the ability to think strategically and analytically.

• Exposure to the ETL, ELT, Data Quality and Governance tools

Key Responsibilities:

• Design and implement data architectures on Snowflake to analytics.

• Collaborate with business stakeholders to understand supply chain data requirements, order management, Sales, Finance and translate them into technical specifications and architectural designs.

• Integrate data from SAP applications and other sources into Snowflake, ensuring data quality, consistency, and security.

• Develop and maintain data models, data flows, and data integration processes to support supply chain analytics and reporting.

• Ensure data architectures align with business objectives and comply with data governance and security standards.

• Provide technical leadership and guidance to data engineering and analytics teams, ensuring best practices are followed.

• Stay informed about industry trends and emerging technologies to drive innovation in data architecture and supply chain analytics.

• Communicate architectural designs, project status, and outcomes to stakeholders and senior management.