1

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

Data Governance Architect

Irvine, CA · On-site

$125 - $150/hr

Integration Architecture & Data Management Solutions * Identify opportunities to integrate data governance capabilities across platforms, applications, and business processes. * Define interfaces ...

Be Seen First

Master Data Manager

Anaheim, CA · On-site

$150K - $190K/yr

Define system-of-record architecture across ERP, MES, CRM * Ensure synchronization and integrity of master data across systems * Support ERP/MES upgrades and transformations with strong data ...

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large ...

Data Science Manager

Irvine, CA · On-site

$150 - $200/hr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Play a key role in architectural decisions, technical design reviews, governance frameworks for ...

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Play a key role in architectural decisions, technical design reviews, governance frameworks for ...

next page

Showing results 1-20

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 Sep 8, 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 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 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:

Data Engineering Lead - Pacific coast candidates preferred

Irvine, CA • On-site

Staffingine LLC
Recruiting and Staffing Services • 51 - 200 employees

Contractor

Re-posted 29 days ago


Job description

Title : Data Engineering Lead

Min Exp Required: 10+ Years

Location: Irvine, CA (Hybrid)

Mandatory Skills : GCP Data Architecture, MDM Conceptual, Data Architecture, Data lakehouse Architecture, Dimensional Data Modeling
Job Description:

  • Engineering leader with strong Handson Python PySpark Platform background
  • Ability to design Python Pyspark logging troubleshooting observability resilience pipeline instrumentation testing frameworks
  • Lead Data Engineering team to speed up product delivery Must be hands on in Data Engineering
  • Must have experience and proficiency in all aspects of data management data analytics solution design implementation
  • Must be experienced in either AWS or Azure Data Analytics Visualization stack If the candidate is experienced in AWS then expected to be proficient in Azure and vice versa
  • Define testing strategy and reusable components
  • Proficiency in Asset management Asset servicing business domain is a plus