1

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

AI/ML Architect

Irvine, CA ยท On-site

$68.50 - $88/hr

AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD Must Have Skills: * Python & Backend ... Experience with CI/CD pipelines and environment management * Strong understanding of observability ...

Demonstrated ability to resolve complex enterprise-wide data architecture challenges * Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging ...

New

Demonstrated ability to resolve complex enterprise-wide data architecture challenges * Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging ...

Principal, Data Engineer

Irvine, CA ยท On-site

$154.60 - $195/hr

Demonstrated ability to resolve complex enterprise-wide data architecture challenges* Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging industry ...

Demonstrated ability to resolve complex enterprise-wide data architecture challenges * Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging ...

Responsibilities - Design and implement thorough data architecture strategies - Lead the ... in Management Information Systems, Computer and Information Science, Systems Engineering ...

Architect Lead

Irvine, CA ยท 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.

Architect Lead

Irvine, CA

$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.

Showing results 21-40

Data Architect Manager information

See Riverside, CA salary details

$120K

$183.3K

$272.8K

How much do data architect manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data architect manager 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.

How does a Data Architect Manager typically collaborate with other teams within an organization?

A Data Architect Manager frequently works cross-functionally, partnering with IT, data engineering, analytics, and business units to ensure that data solutions align with organizational goals. This collaboration involves gathering requirements, designing scalable data architectures, and ensuring data governance standards are met. Regular meetings with stakeholders are common to prioritize projects, address challenges, and communicate data strategy. Building strong relationships across departments is essential for successful data integration and leveraging data as a strategic asset.

What does a Data Architect Manager do?

A Data Architect Manager oversees the design, implementation, and management of an organization's data architecture. They lead teams of data architects and analysts to develop data models, strategies, and systems that support business goals. Their responsibilities include ensuring data quality, security, and accessibility, as well as collaborating with other IT and business leaders to align data solutions with organizational needs. The role requires strong leadership, technical expertise, and a deep understanding of data management best practices.

What are the key skills and qualifications needed to thrive as a Data Architect Manager?

To thrive as a Data Architect Manager, you need expertise in data modeling, database design, and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Familiarity with relational and NoSQL databases, data warehousing solutions, cloud platforms (such as AWS or Azure), and relevant certifications like CDMP or AWS Certified Data Analytics are typical requirements. Strong leadership, communication, and problem-solving skills help you guide teams and align technical solutions with business strategies. These skills ensure robust, scalable data architectures that support organizational goals and enable effective data-driven decision-making.

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

AspectData Architect ManagerData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often certifications in data managementBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentLeads data architecture teams, collaborates with stakeholders, oversees data strategyBuilds and maintains data pipelines, implements data solutions, works with data storage and processing systems
Employer & Industry UsageUsed in organizations with complex data needs, enterprise data teamsCommon in tech companies, data-driven startups, and organizations with large data infrastructure

The Data Architect Manager focuses on designing and overseeing data architecture strategies, managing teams, and aligning data solutions with business goals. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure needed to support data analysis and reporting. Both roles require technical expertise, but their responsibilities differ in scope and focus.

What are popular job titles related to Data Architect Manager jobs in Riverside, CA?

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

What job categories do people searching Data Architect Manager jobs in Riverside, CA look for?

The top searched job categories for Data Architect Manager jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Architect Manager jobs?

Cities near Riverside, CA with the most Data Architect Manager job openings:

Senior AISolution Architect

Comprehensive Resources Inc.

Santa Ana, CA โ€ข On-site

$70 - $93.75/hr

Other

Posted 17 days ago


Job description

Job Title: Senior AI Solution Architect - Data & AI Platforms (Google Cloud Platform)

Location: Santa Ana, CA

Duration : 12 months contract


Experience

10-15+ years overall experience (with 5+ years in AI/Data Architecture roles)
Job Summary
We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (Google Cloud Platform).
The ideal candidate will have strong hands-on experience across data lakehouse architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.
Key Responsibilities
Data & Platform Architecture
Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
Architect modern data lakehouse platforms using Google Cloud Platform services (e.g., BigQuery, Dataproc, Cloud Storage)
Define scalable data platforms supporting batch, streaming, and real-time analytics
Establish data governance, metadata management, data quality, lineage, and security frameworks
AI, ML & MLOps Architecture
Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability)
Collaborate with data scientists to productionize ML models at scale
Evaluate and recommend ML frameworks, tools, and best practices
Generative AI & Agentic AI
Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases)
Design Conversational Analytics and AI-powered BI solutions
Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations
Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems
Business Intelligence & Analytics
Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
Integrate BI tools with data lakehouse and AI layers
Enable semantic layers, metrics definitions, and governed analytics
Cloud & Google Cloud Platform Leadership
Lead architecture and solution design on Google Cloud Platform (Google Cloud Platform)
Utilize Google Cloud Platform services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM
Ensure architectures follow best practices for security, scalability, performance, and cost optimization
Stakeholder & Technical Leadership
Partner with business leaders to translate business requirements into AI-driven solutions
Lead technical design reviews and architecture governance
Mentor engineers, architects, and data scientists
Create architecture blueprints, reference architectures, and technical documentation
Required Skills & Qualifications
Core Technical Skills
Strong experience in Data Architecture & Data Platforms
Hands-on expertise in Data Lakehouse architectures
Deep understanding of end-to-end data management
Experience with modern BI platforms and analytics ecosystems
Strong background in AI/ML architecture and MLOps
Proven experience in Conversational Analytics and Generative AI
Hands-on exposure to Agentic AI platforms, frameworks, and evaluations
Strong expertise in Google Cloud Platform (Google Cloud Platform)
Tools & Technologies (preferred)
Google Cloud Platform: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks
MLOps: CI/CD, feature stores, model registries, monitoring tools
Data: SQL, Python, Spark, Kafka
BI: Looker, Tableau, Power BI (or equivalent)
Preferred Qualifications
Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field
Google Cloud Platform Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer, Cloud Architect)
Experience working in large-scale enterprise or consulting environments
Strong communication and stakeholder management skills