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Manager Data Architecture Jobs in Riverside, CA (NOW HIRING)

Pwc

Data Engineer - Manager

Irvine, CA

$99K - $232K/yr

... architecture development and database optimization - Validating data quality, security, and ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Responsibilities - Designing and implementing thorough data architecture strategies - Analyzing ...

twenty80.io

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

Contribute to data architecture design and maintain documentation such as data flow diagrams ... Integrate and manage data from multiple sources including APIs and external systems Development ...

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Ventura Foods

Principal Data Governance

Irvine, CA · On-site

Understanding of data architecture concepts such as data lakes, data mesh, and data virtualization. * Familiarity with master data management (MDM), data quality frameworks, and business glossaries.

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All JobsManager Data Architecture JobsManager Data Architecture Jobs in Riverside, CA

Manager Data Architecture information

See Riverside, CA salary details

$120K

$183.3K

$272.8K

How much do manager data architecture jobs pay per year?

As of Jul 5, 2026, the average yearly pay for manager data architecture in Riverside, CA is $183,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $170,100.00 and $189,400.00 per year, depending on experience, location, and employer.

What is the salary of data architecture manager?

The salary of a Data Architecture Manager typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. In large consulting firms like Accenture, salaries may also include bonuses and benefits aligned with industry standards for senior data management roles.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation, often exceeding $160,000 per year.

How much money do data architects make?

Data architects typically earn a median annual salary of around $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher salaries, often exceeding $160,000 annually.

What are the key skills and qualifications needed to thrive as a Manager Data Architecture, and why are they important?

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 role of a data architect manager?

A data architect manager oversees the design, development, and implementation of an organization’s data architecture, ensuring data systems support business needs. They lead teams of data architects, establish data standards, and collaborate with stakeholders to optimize data flow, quality, and security using tools like data modeling and database management systems.

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 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 job categories do people searching Manager Data Architecture jobs in Riverside, CA look for? The top searched job categories for Manager Data Architecture jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Manager Data Architecture jobs? Cities near Riverside, CA with the most Manager Data Architecture job openings:
Manager Data Architecture jobs near you
Principal Data Platform Architect

Principal Data Platform Architect

Ventura Foods

Irvine, CA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Ventura Foods rating

6.9

Company rating: 6.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

207th of 389 rated food and drinks producers

Job description

Employment Type: Salaried
Work Arrangement: Hybrid 

Position Summary:

The Principal Data Platform Architect defines and drives the company's enterprise data platform strategy and roadmap. This role designs a modern lakehouse architecture on Snowflake, enables self-service BI, advances integration across systems and data domains, and establishes the foundation for machine learning and AI platforms-ensuring the ecosystem is scalable, secure, and delivers trusted data for business value.

Major Duties and Responsibilities:
  • Define and own the enterprise data platform strategy and roadmap:
    -Develop the architectural vision for data, integration, analytics, and AI platforms.
    -Align platform capabilities with evolving business needs such as growth, efficiency, compliance, and innovation.
    -Establish architectural principles, standards, and governance.
  • Design and govern Snowflake-based lakehouse architecture (medallion model):
    -Design the logical data models for bronze, silver, and gold layers.
    -Ensure data quality, lineage, and security across structured and semi-structured data.
    -Optimize performance, cost management, and multi-tenant scalability.
  • Lead integration architecture across systems and data domains:
    -Define patterns for API-led, event-driven, and batch data movement.
    -Standardize error handling, monitoring, and metadata capture.
    -Ensure interoperability between enterprise applications, data warehouse, and operational platforms.
  • Enable and expand self-service BI and analytics:
    -Architect semantic layers and governed datasets for analytics platforms.
    -Define policies for certified vs. exploratory analytics.
    -Deliver frameworks for data catalogs, data dictionaries, and end-user guides.
  • Lay the foundation for machine learning and AI platforms:
    -Ensure data pipelines support ML feature engineering and model training.
    -Partner with data science teams to establish MLOps best practices.
    -Enable reuse of data assets for predictive and generative AI use cases.
Education and Experience:

Education

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field required.
  • Master's degree in Computer Science, Information Management, or Business/Technology discipline preferred.

Experience

  • 10+ years of experience in data architecture, data engineering, or enterprise data platforms.
  • 5+ years in a senior/lead architect role driving platform strategy, standards, and governance at enterprise scale.
  • Proven expertise designing and operating cloud-based data platforms (Snowflake or similar), including lakehouse/medallion architectures.
  • Hands-on experience with ELT/ETL tools, data modeling, and metadata management (dbt, Fivetran, or comparable).
  • Strong background in enterprise integration (API-led, event-driven, or batch patterns).
  • Demonstrated success enabling self-service BI and analytics platforms with governed semantic layers.
  • Exposure to machine learning/AI platforms and MLOps practices for operationalizing models.
  • Track record of partnering with business leaders to align data platforms with strategic business needs (growth, efficiency, compliance, innovation).
  • Excellent leadership, communication, and stakeholder management skills; experience influencing technical and executive audiences.
Knowledge and Skills:
  • Data Architecture & Modeling - Expert in designing lakehouse architectures (bronze/silver/gold) and enterprise data models that support both analytics and AI/ML workloads.
  • Cloud Data Platforms - Deep hands-on knowledge of Snowflake (or equivalent cloud-native platforms), including performance tuning, cost optimization, multi-tenant design, and governance.
  • Data Engineering & ELT - Strong proficiency in dbt or similar transformation frameworks, ELT/ETL orchestration, metadata management, and automation of data pipelines.
  • Integration Patterns - Advanced understanding of API-led, event-driven, and batch integration; skilled at designing reusable integration frameworks.
  • Analytics & BI Enablement - Skilled at architecting self-service BI environments, semantic layers, and governed datasets; experience with enterprise BI tools.
  • Machine Learning & AI Enablement - Familiarity with ML pipelines, feature stores, and MLOps practices to operationalize AI models.
  • Security, Compliance & Governance - In-depth knowledge of data security, privacy, and governance frameworks, including RBAC/ABAC models and regulatory compliance.
  • Leadership & Communication - Strong ability to translate complex technical concepts into business value, influence senior executives, and guide cross-functional teams.
  • Strategic Thinking - Ability to balance long-term platform vision with short-term delivery, ensuring scalability, adaptability, and cost-effectiveness.

Why Join Us:
Ventura Foods innovates and manufactures food solutions for foodservice and retail businesses.  We make exclusive products for the world's most iconic restaurants and retailers, we provide ready-to-go product solutions for professional kitchens, and we make consumer brands everyone knows and loves.  When you work for Ventura Foods, you get a strong foundation of training, a manager who cares about you and celebrates your success, a safe environment, and challenging work.  As part of our team, your future is limited only by how much you're willing to push yourself to get there. We invest in your growth because you invest in ours.  

Ventura Foods offers career growth opportunities as well as competitive compensation and benefits:

  • Medical, Prescription, Dental, & Vision - coverage beginning on your 1st day for eligible employees
  • Profit Sharing and 401(k) matching (after eligible criteria is met)
  • Paid Vacation, Sick Time, and Holidays
  • Employee Appreciation Events and Employee Assistance Programs
  • Salary Base Range of $150,000 - $185,000*

*The "base salary range" provided above is a good faith estimate of what we expect to pay for this position in the specified markets.  Ventura Foods reserves the right to pay outside of the given range based on a variety of factors including but not limited to: candidate skills and experience, complexity of the job, budgetary factors, and location/geography.  Ventura Foods conducts regular reviews of compensation ranges and therefore reserves the right to alter this range at any given time.  

Diversity & Inclusion:
Our commitment to a diverse and inclusive environment in which all employees are treated with respect is evident in our company culture and values.  We believe that fostering an environment of inclusion and a focus on diversity across our organization is vital to attracting top talent, driving innovation, and meeting the high expectations of our customers in a rapidly evolving global marketplace.

Ventura Foods is proud to be an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

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