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

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 ...

Capgroup

Architect Lead

Irvine, CA · On-site

$59.25 - $81.25/hr

You have demonstrated ability in defining, designing, and delivering enterprise-scale data strategies and data management solutions leveraging sound architecture principles, approaches, and patterns.

Capital Group

Architect Lead

Irvine, CA · On-site

$59 - $80.75/hr

You have demonstrated ability in defining, designing, and delivering enterprise-scale data strategies and data management solutions leveraging sound architecture principles, approaches, and patterns.

Echo IT Solutions, Inc.

Salesforce Architect

Irvine, CA · On-site

$74 - $91.75/hr

... data architecture. · Experience with Salesforce DX, Git, and CI/CD tools. · Strong problem-solving, communication, and stakeholder management skills. Preferred Certifications · Salesforce ...

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All JobsData Architecture 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 Aug 15, 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 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 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 are popular job titles related to Manager Data Architecture jobs in Riverside, CA?

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

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

Architect, Business Analytics and Data Intelligence

PDS Health

Irvine, CA • On-site

$150K - $194K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Description
Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!
Overview
The Architect, Business Analytics and Data Intelligence designs scalable data pipelines and data models. Establishes guidelines for development standards and best practices for data pipeline build. Ensures data security and data quality is embedded in the data platform implementation framework. Provide cross functional support for data architecture and enterprise data management.
Responsibilities
  • Manage technology architecture, standards, and design patterns ensuring alignment between business goals and technology strategy, managing collaboration with business leaders to analyze and capture business needs.
  • Analyze solution designs, blueprints, and architecture decision records.
  • Develop evaluation of technology alternatives for strategy and solution proposals, including build vs. buy analysis.
  • Deliver architecture governance and compliance with enterprise standards and frameworks.
  • Recommend improvements to technical roadmaps aligned with business strategy, coordinating with department leaders.
  • Manage technical debt assessment, modernization strategies, and migration planning.
  • Ensures compliance with all policies and standards, as well as state, federal and other regulatory bodies.
  • This is not intended to be a comprehensive list of the duties and responsibilities of the position and the duties and responsibilities may change.

Qualifications
  • Bachelor's Degree in Arts/Sciences (BA/BS) Computer Science, Data Science, Information Systems, or related field
  • 10+ years experience in data engineering
  • Expertise in the Modern Data Platform stack (Snowflake, Databricks).
  • Expertise with any major cloud platforms and services (AWS, GCP, Azure)
  • Experience with data ingestion and orchestration tools and frameworks, such as dbt, dagster, airflow, matillion,
  • Strong proficiency in SQL, Python, and data modeling techniques.
  • Strong knowledge of data extraction patterns and best practices.
  • Solid understanding of dimensional modeling and its application in analytics.
  • Strong problem-solving skills with a focus on delivering scalable and efficient solutions.
  • Working knowledge in the implementation of AI in data engineering lifecycle
  • Excellent communication and collaboration skills, with experience in client-facing roles.

Knowledge/Skills/Abilities
  • Collaborate with stakeholders to design and implement scalable data engineering solutions.
  • Design of data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data
  • Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting.
  • Leverage tools such as Python, SQL, Snowflake native features to develop advanced data transformation and integration processes.
  • Optimize data storage and retrieval mechanisms to support high-performance analytics workloads.
  • Implement and manage hybrid analytics workloads using AWS Cloud infrastructure, including networking and security configurations.
  • Collaborate with analytics and BI teams to ensure seamless integration of data assets into Power BI and other reporting platforms.
  • Stay informed about emerging trends and technologies in data engineering and cloud analytics to enhance solution delivery.
  • Familiarity with advanced analytics tools and concepts, including machine learning workflows.
  • Knowledge of data visualization tools such as Power BI.
  • Experience with Agile methodologies for project management.

Benefits
  • Medical, dental, and vision insurance
  • Paid time off
  • Tuition Reimbursement
  • 401K
  • Paid time to volunteer in your local community

PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.
Salary Information
$150,000.00-$194,000.00 / Annually

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