Sr. Manager, Data Architecture & Technology

SAMYANG AMERICA INC•Brea, CA

2d•$120,000 - $140,000

About The Position

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 Senior Manager, Data Architecture & Technology, is the technical delivery leader responsible for designing, building, and scaling Samyang America’s enterprise data platform, including a cloud-based data lake and integration architecture. This role is responsible for turning fragmented data across systems into a reliable, scalable, and governed data foundation that powers analytics, strategy, and business decision-making. The position will manage a small internal team and external engineering partners to deliver a modern, future-ready data ecosystem.

Requirements

8+ years of experience in data engineering, data architecture, or enterprise data platform development.
Hands-on experience building and deploying data lakes or modern data platforms.
Strong knowledge of cloud environments (AWS, Azure, or GCP).
Experience designing data pipelines, ETL/ELT processes, and data models.
Proven ability to manage technical teams and external vendors.

Nice To Haves

Experience with platforms such as Snowflake, Databricks, Redshift, BigQuery.
Familiarity with orchestration tools (e.g., Airflow) and modern data stack components.
Experience integrating ERP, CRM, and marketing systems.
Background in consumer goods, retail, or supply chain environments.

Responsibilities

Design, development, and implementation of SYA enterprise data architecture, including data pipelines, data orchestration, data lakes and integration layers.
Define and govern data models, structures, and standards to ensure scalability, flexibility, and usability across the organization.
Establish architecture that supports both real-time and batch data processing.
Oversee development of data ingestion, transformation, and orchestration pipelines across systems (ERP, CRM, marketing, finance, etc.).
Ensure seamless integration of internal and external data sources into a unified environment.
Optimize data flows for performance, reliability, and cost efficiency.
Lead day-to-day execution of the data lake build, partnering with external vendors and engineering teams.
Ensure delivery against milestones, technical requirements, and business needs.
Validate architecture decisions to ensure long-term scalability and maintainability.
Establish frameworks for data quality, data catalog, and governance policies across systems.
Define data ownership, lineage, and access models.
Accountable for delivering data and analytic governance KPIs.
Partner with business teams to ensure data is trustworthy and actionable.
Manage internal resources, including: Data Architect Data Engineer
Direct and control external vendors and system integrators to ensure delivery of technology, data, and analytic solutions align with the SYA platform vision.
Ensure alignment between internal priorities and external delivery teams.
Enforce documentation, code quality, and knowledge transfer standards.