Sr. Data Architect Specialist

Job Description

Job Description

About Samyang America

Samyang America stands as the #1 Gen Z brand, boldly shaping the future of food culture with innovative flavors, viral trends, and unforgettable brand experiences. We don’t just create food - we craft moments that spark excitement, inspire connection, and celebrate bold individuality.

Our mission is to bring daring, delicious products to the market that resonate deeply with the next generation of food lovers. From iconic spicy noodles to creative new launches, we are driven by passion, creativity, and a commitment to pushing the boundaries of taste and culture.

At Samyang America, you’ll join a dynamic team that thrives on innovation, collaboration, and a shared love for bold flavor experiences. We value fresh ideas, energetic spirit, and the courage to lead trends rather than follow them.

If you’re ready to be part of a brand that’s more than just food - a brand that moves culture and creates unforgettable moments - join our team today!

Position Summary: 

The Data Architect will play a critical role in designing the structural foundation of Samyang America’s data ecosystem, ensuring that data is organized, governed, and optimized for analytics, AI, and business decision-making. This role focuses on defining data models, standards, and architecture frameworks that enable scalability, consistency, and long-term usability across the enterprise data platform.

Key Responsibilities:

Data Modeling & Architecture Design

• Design and maintain enterprise data models (conceptual, logical, and physical) aligned to business needs.

• Define structures for key domains including:

  • Sales & revenue data

  • Consumer & marketing data

  • Product & innovation pipeline

  • Financial and operational data

• Ensure alignment between business definitions and technical data structures.

Data Standards & Governance

• Establish and enforce data standards, naming conventions, and taxonomy frameworks.

• Define data lineage, ownership, and metadata management practices.

• Partner with Data Engineering to ensure governance is embedded in pipelines and systems.

Data Integration Design

• Design how data flows across systems (ERP, CRM, marketing platforms, external data sources).

• Define integration patterns to ensure clean, consistent, and unified data assets.

• Support the creation of a single source of truth across the organization.

Collaboration with Engineering & Analytics

• Work closely with Data Engineers to ensure architecture is implemented correctly.

• Partner with Analytics and AI teams to ensure data is structured for advanced use cases and modeling.

• Translate business requirements into scalable data architecture solutions. 

Requirements:

• 5+ years of experience in data architecture, data modeling, or database design.

• Strong experience with data modeling techniques (star schema, dimensional modeling, etc.).

• Familiarity with cloud data platforms (AWS, Azure, or GCP).

• Strong understanding of data governance, metadata, and data quality principles.

• Proficiency with SQL and data modeling tools. 

Preferred:

• Experience with platforms such as Snowflake, Databricks, or similar.

• Experience working with ERP, CRM, or marketing data systems.

• Exposure to analytics or AI use cases and how data supports them. 

Leadership Attributes