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Manager Data Architecture Jobs in California (NOW HIRING)

Sonsoft Inc

Senior Data Architect

Torrance, CA · On-site

$70.25 - $94/hr

Serve as an advocate for the data architecture team and data management discipline, policies/standards, data governance and metadata management across the enterprise * Assist in determining the ...

TEKsystems

Sr. MDM Data Architect

San Diego, CA · Hybrid

$80 - $100/hr

Master Data Management (MDM) * Support enterprise MDM strategy and architecture. * Define golden records, matching and merging logic, survivorship rules, and governance processes. * Partner with ...

TEKsystems

Sr. MDM Data Architect

San Diego, CA · Hybrid

$80 - $100/hr

Master Data Management (MDM) * Support enterprise MDM strategy and architecture. * Define golden records, matching and merging logic, survivorship rules, and governance processes. * Partner with ...

Compunnel

Data Architect

Aliso Viejo, CA · On-site

$68 - $87.50/hr

... architecture. • Experience with data governance, data cataloging, and metadata management. • Proficiency with data modeling tools such as Erwin, ER/Studio, and SQL Server Data Tools. • ...

New

LMI

Data Architect - Clearance Required

San Diego, CA · On-site

$67.75 - $87/hr

Research, design, implement, and manage enterprise data engineering systems, and serve as subject-matter expert for data architecture and administration. * Support data architecture across enterprise ...

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

Research, design, implement, and manage enterprise data engineering systems, and serve as subject-matter expert for data architecture and administration. * Support data architecture across enterprise ...

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

Research, design, implement, and manage enterprise data engineering systems, and serve as subject-matter expert for data architecture and administration. * Support data architecture across enterprise ...

Jobtailor

Data Architect

Los Angeles, CA · On-site

$160 - $260/hr

Strong knowledge of data modeling, integration architecture, metadata, lineage, governance, data quality, and master data management. * Experience with modern data platforms such as Snowflake ...

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Manager Data Architecture information

What does a manager data architecture do?

A Manager Data Architecture oversees the design, implementation, and maintenance of an organization's data systems and structures. They ensure data is stored, managed, and accessed efficiently and securely, aligning data solutions with business needs. This role involves leading a team of data architects, collaborating with IT and business stakeholders, and setting data governance standards. They are critical in enabling data-driven decision making and supporting digital transformation initiatives within an organization.

What are the key skills and qualifications needed to thrive as a manager data architecture?

To thrive as a Manager Data Architecture, you need deep expertise in data modeling, database management, and enterprise data strategy, typically backed by a degree in computer science or a related field. Proficiency with tools like SQL, data warehousing platforms (e.g., Snowflake, Redshift), and frameworks such as TOGAF, along with relevant certifications, is often required. Strong leadership, communication, and problem-solving skills help drive cross-functional collaboration and guide data architecture teams. These competencies are critical for ensuring scalable, secure, and efficient data solutions that support business goals.

What are some common challenges faced by a manager data architecture, and how can they be effectively addressed?

A Manager Data Architecture often faces challenges like integrating data from disparate sources, ensuring data quality, and aligning data strategies with evolving business goals. Addressing these issues typically involves collaborating closely with IT, business stakeholders, and data governance teams to create robust data models and clear documentation. Proactively staying updated on emerging technologies and industry best practices also helps in anticipating potential roadblocks and implementing scalable, future-proof solutions.

What is the difference between Manager Data Architecture vs Data Engineer?

AspectManager Data ArchitectureData Engineer
CredentialsBachelor's or Master's in Computer Science, Data Management, or related fields; often certifications in data architecture or cloud platformsBachelor's in Computer Science, Software Engineering, or related; certifications in data engineering or cloud services are common
Work EnvironmentOversees data teams, designs data systems, collaborates with stakeholders, and manages data architecture projectsBuilds, develops, and maintains data pipelines, works with large datasets, and implements data solutions
Employer & Industry UsageUsed in organizations with complex data needs, including finance, healthcare, and tech companiesCommon in tech firms, startups, and any company with data infrastructure needs

The main difference is that a Manager Data Architecture focuses on designing and overseeing data systems and strategies, while a Data Engineer primarily builds and maintains the data pipelines and infrastructure. Both roles require strong technical skills, but the manager role emphasizes leadership and strategic planning.

What are the most commonly searched types of Data Architecture jobs in California?

The most popular types of Data Architecture jobs in California are:

What are popular job titles related to Manager Data Architecture jobs in California?

For Manager Data Architecture jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Data Architecture jobs in California look for?

The top searched job categories for Manager Data Architecture jobs in California are:

What cities in California are hiring for Manager Data Architecture jobs?

Cities in California with the most Manager Data Architecture job openings:

Manager Data Architecture jobs near you
Infographic showing various Manager Data Architecture job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Sr. Manager, Data Architecture & Technology

Brea, CA • On-site

SAMYANG AMERICA INC
See more jobs at SAMYANG AMERICA INCexternal

Full-time

Re-posted 23 days ago

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 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.

Key Responsibilities:

Data Architecture & Platform Design

  • 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.

Data Engineering & Integration

  • 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.  

Data Lake Implementation

  • 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.

Data Governance & Quality

  • 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.

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.

·        Enforce documentation, code quality, and knowledge transfer standards.

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

Apply