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

Principal, Data Engineer

Irvine, CA

  • Medical

  • Life

  • Retirement

  • PTO

Develop and present architecture and design artifacts to both technical and non-technical ... Experience with AI development frameworks and lifecycle methodologies (e.g., BMAD, Spec Kit)

Principal, Data Engineer

Irvine, CA · On-site

$154.60 - $195/hr

  • Medical

  • Life

  • Retirement

  • PTO

Develop and present architecture and design artifacts to both technical and non-technical ... Experience with AI development frameworks and lifecycle methodologies (e.g., BMAD, Spec Kit)

Principal, Data Engineer

Irvine, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Develop and present architecture and design artifacts to both technical and non-technical ... Experience with AI development frameworks and lifecycle methodologies (e.g., BMAD, Spec Kit)

Data and AI Customer Solutions Architect

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and robust data platforms, regardless of the cloud ecosystem they prefer. At Softchoice, your ... You'll have the unique opportunity to architect and deliver AI strategies that become the backbone ...

A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering. You bring strong expertise in designing and building scalable ...

Data and AI Customer Solutions Architect

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and robust data platforms, regardless of the cloud ecosystem they prefer. At Softchoice, your ... You'll have the unique opportunity to architect and deliver AI strategies that become the backbone ...

Agentic AI Architect

Irvine, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Agentic AI Architecture & System Design: * Lead the definition and design of the end-to-end ... Work closely with data scientists, data engineers, security architects, infrastructure teams, and ...

Agentic AI Architect

Irvine, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Agentic AI Architecture & System Design: * Lead the definition and design of the end-to-end ... Work closely with data scientists, data engineers, security architects, infrastructure teams, and ...

Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing ... At least 8+ years of experience in AI/ML, Data Science, or Software Engineering. * Strong Python ...

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

... the Data Architect to implement data models and standards. • Partner with Analytics and AI teams to ensure data is delivered in formats that support business use cases and modeling. • Enable ...

Showing results 41-60

Ai Data Architect information

See Riverside, CA salary details

$11

$73

$98

How much do ai data architect jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai data architect in Riverside, CA is $73.01, according to ZipRecruiter salary data. Most workers in this role earn between $63.94 and $82.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI data architect, and why are they important?

To thrive as an AI Data Architect, you need deep expertise in data modeling, database design, and AI/ML concepts, often backed by a degree in computer science, engineering, or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data frameworks (like Hadoop and Spark), and certifications in cloud architecture or data engineering are highly valued. Strong analytical thinking, problem-solving skills, and effective communication are crucial for collaborating across teams and translating business needs into scalable data solutions. These skills ensure robust, efficient AI systems that support organizational goals and drive innovation.

What is an AI data architect?

An AI Data Architect is a professional who designs, builds, and manages the data infrastructure necessary for artificial intelligence (AI) and machine learning (ML) systems. They ensure that data is collected, stored, processed, and made accessible in a way that supports AI applications. Their responsibilities include selecting appropriate data storage solutions, creating data models, establishing data pipelines, and maintaining data quality and security. AI Data Architects work closely with data scientists, engineers, and business stakeholders to translate business needs into robust data solutions that enable AI-driven insights and automation.

How does an AI data architect typically collaborate with data engineers, data scientists, and other stakeholders within an organization?

An AI Data Architect plays a central role in bridging the gap between data engineering, data science, and business stakeholders. They design and oversee the data infrastructure required for AI applications, working closely with data engineers to ensure pipelines are scalable and secure. In collaboration with data scientists, they help define data requirements and optimize data flows for model training and deployment. Frequent communication with product managers and business leaders helps align the data architecture with organizational goals and regulatory standards, making adaptability and strong interpersonal skills key components of the role.

How much do AI data architects make?

AI data architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data modeling, cloud platforms, and machine learning can command higher salaries. Certifications and a strong understanding of data management tools also influence compensation.

What does a data and AI architect do?

A data and AI architect designs and manages data systems and AI solutions to support business goals. They develop data pipelines, implement machine learning models, and ensure data security, often using tools like cloud platforms and programming languages such as Python or SQL. Strong analytical skills and knowledge of data governance are essential for this role.

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

AspectAi Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications in cloud platforms or data architectureBachelor's/Master's in CS, Software Engineering, or related; certifications in cloud or data tools
Work EnvironmentDesigning data architecture for AI models, collaborating with data scientists and AI teamsBuilding and maintaining data pipelines, managing data storage and processing systems
Industry UsageUsed in AI-focused companies, tech firms, and organizations deploying AI solutionsCommon across industries for data management, analytics, and infrastructure

The Ai Data Architect focuses on designing data systems optimized for AI applications, working closely with data scientists. In contrast, Data Engineers build and maintain the data pipelines and infrastructure needed for data processing. Both roles require similar technical skills and certifications but serve different functions within data ecosystems.

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

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

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

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

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

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

Principal, Data Engineer

Cotality

Irvine, CA

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

We are seeking a highly motivated and self-driven Data Engineer with a strong background in building scalable batch and streaming data pipelines. The ideal candidate brings deep expertise in Google Cloud Platform (GCP), with hands-on experience in Dataflow, BigQuery, Python, and graph databases such as Neo4j and Google Spanner. Familiarity with orchestration tools like Apache Airflow is essential.

In this role, you will serve as a lead (anchor) engineer, driving the design and delivery of reusable, enterprise-grade data capabilities leveraged across Cotality. You will play a key role in building robust, scalable, and efficient data processing frameworks that support a wide range of business applications and strategic initiatives.

Key Responsibilities

  • Design and implement scalable, high-performance data solutions using industry best practices and modern technologies, ensuring optimal integration, reliability, scalability, flexibility, and maintainability
  • Translate business requirements and processes into well-architected technical solutions, aligning with enterprise architecture standards and long-term technology strategy
  • Define and document solution architecture, technical designs, and requirements to support business objectives while balancing practical implementation and strategic vision
  • Provide technical leadership and guidance to engineering and support teams, ensuring alignment with business and IT strategies
  • Develop and present architecture and design artifacts to both technical and non-technical stakeholders
  • Proactively identify challenges, assess downstream impacts across business domains, and drive solution design through research, validation, and stakeholder consensus
  • Apply industry and domain best practices, offering architectural guidance and strategic input to business and technology leadership
  • Evaluate the impact of new solutions on existing architecture, ensuring compliance with enterprise standards and governance frameworks
  • Contribute to enterprise-wide technology initiatives and support critical issue resolution when needed
  • Actively participate in team ceremonies, provide status updates, and support overall project governance and execution

Job Qualifications:

Job Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent work experience)
  • 7+ years of experience in IT, with strong expertise in data architecture, integrating and analyzing disparate data sources, and driving data quality improvements-preferably within the mortgage, real estate, or insurance domains
  • Deep understanding of data modeling techniques to support technology optimization, data consolidation, and strategic architecture planning
  • Strong knowledge of the full lifecycle of database, data warehouse, and data mart design and development
  • Proven experience in enterprise data architecture, including governance, standards, and strategy development
  • Demonstrated ability to resolve complex enterprise-wide data architecture challenges
  • Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging industry trends
  • Proficiency with data modeling tools and strong experience across SQL and NoSQL technologies

Technical Skills & Experience

  • Hands-on experience with cloud platforms such as AWS and Google Cloud Platform (GCP)
  • Strong programming skills in Python and PySpark
  • Experience with AI development frameworks and lifecycle methodologies (e.g., BMAD, Spec Kit)
  • Experience with big data and distributed processing technologies such as Hadoop, Spark, and Elasticsearch
  • Working knowledge of modern data platforms, including graph databases (e.g., Neo4j, Google Spanner)
  • Experience with data processing and orchestration tools such as Google Cloud Dataflow, Apache Beam, and Apache Airflow
  • Ability to develop and document detailed technical designs and specifications

Leadership & Soft Skills

  • Proven ability to mentor and guide engineering teams on architectural best practices and technical approaches
  • Strong communication skills, with a collaborative mindset and interest in pair programming environments
  • Ability to manage multiple projects and priorities in a fast-paced environment
  • Excellent organizational, time management, and problem-solving skills
  • Strong interpersonal and stakeholder management abilities
  • Preferred Qualifications

  • Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable

Annual Pay Range:

154,600 - 195,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2026-07-08

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights, depending on role classification, include:

  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.

  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.

  • Health: Multiple medical plan options with mental health and wellness support offerings.

  • Retirement: 401(k) with company match and vesting after one year.

  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.

  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.

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By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.

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