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Sr. Manager, Data Architecture & Technology

SAMYANG AMERICA INC
Posted 22 days ago, valid for a day
Location

Brea, CA 92822, US

Salary

$120,000 - $140,000 per year

Contract type

Full Time

Paid Time Off
Life Insurance

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Sonic Summary

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  • Samyang America is seeking a Senior Manager, Data Architecture & Technology to lead the design and implementation of their enterprise data platform.
  • The role requires 8+ years of experience in data engineering, data architecture, or enterprise data platform development.
  • Key responsibilities include overseeing data architecture, managing a small team, and ensuring seamless data integration across systems.
  • The base salary for this position ranges from $120,000.00 to $140,000.00 per year, with additional compensation and benefits available.
  • Samyang America values innovation and is committed to equal employment opportunities for all individuals.

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鈥檛 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鈥檒l 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鈥檙e ready to be part of a brand that鈥檚 more than just food - a brand that moves culture and creates unforgettable moments - join our team today!

Position Summary:聽

The聽Senior Manager, Data Architecture & Technology,聽is the technical delivery leader responsible for designing, building, and scaling Samyang America鈥檚聽enterprise data platform, including a cloud-based聽data lake and integration architecture.

This role is responsible for turning fragmented data across systems into a聽reliable, scalable, and governed data foundation聽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.

Key Responsibilities:

Data Architecture & Platform Design

  • Design, development, and implementation of SYA聽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聽real-time and batch data processing.

Data Engineering & Integration

  • Oversee development of聽data ingestion, transformation, and orchestration pipelines聽across systems (ERP, CRM, marketing, finance, etc.).

  • Ensure seamless integration of聽internal and external data sources聽into a unified environment.

  • Optimize data flows for performance, reliability, and cost efficiency. 聽

Data Lake Implementation

  • Lead day-to-day execution of the聽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.

Data Governance & Quality

  • Establish frameworks for聽data quality, data catalog, and governance聽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.

Team & Vendor Management

  • 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.

路 聽 聽 聽 聽Enforce documentation, code quality, and knowledge transfer standards.

Requirements:

  • 8+ years of experience in聽data engineering, data architecture, or enterprise data platform development.

  • Hands-on experience building and deploying聽data lakes or modern data platforms.

  • Strong knowledge of聽cloud environments聽(AWS, Azure, or GCP).

  • Experience designing聽data pipelines, ETL/ELT processes, and data models.

  • Proven ability to manage聽technical teams and external vendors.聽

Preferred:

  • Experience with platforms such as聽Snowflake, Databricks, Redshift, BigQuery.

  • Familiarity with orchestration tools (e.g., Airflow) and modern data stack components.

  • Experience integrating聽ERP, CRM, and marketing systems.

  • Background in聽consumer goods, retail, or supply chain environments.聽

Leadership Attributes:

  • Systems thinker - designs for scale, not just immediate needs

  • Hands-on builder - comfortable going deep technically when needed

  • Execution-focused - delivers complex infrastructure projects

  • Collaborative partner - works across IT and business functions

This role builds the foundation of Samyang's data capability. Without it, analytics and AI cannot scale. With it, the company gains a single source of truth and a platform for competitive advantage.聽


The base salary for this position is between $120,000.00 and $140,000.00 per year. Actual compensation will depend on a variety of factors, including qualifications, experience, and location. This position may also be eligible for additional compensation and benefits, including an annual incentive bonus, medical/dental/vision insurance, life insurance, PTO/FTO, and a 401(k) plan with company match.


Equal Employment Opportunity Employer:

Samyang America is committed to providing equal employment opportunities to all individuals. We do not discriminate in employment decisions on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other status protected by applicable federal, state, or local laws.




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