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

Experience with managing meta data for data models * To develop, publish, maintain all documentation for data models * Work with Business Analysts, Data Architects, Software developers, DBAs to ...

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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:

Lead Data Scientist (Context Engineering)

Irvine, CA • On-site

Rivian
Automobile Dealers • 10K+ employees

$154K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Rivian rating

7.3

Company rating: 7.3 out of 10

Based on 160 frontline employees who took The Breakroom Quiz

18th of 45 rated automakers


Job description

About Rivian
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary
Rivian's AI team sits within the Analytics function of the Customer organization-the team that spans Marketing, Sales, and Market Intelligence-and is building the semantic and data infrastructure that makes intelligent agents possible at scale. As a Staff/Lead Data Scientist focused on Context Engineering, you will design the knowledge layer that AI agents reason from-owning the ontologies, semantic models, identity resolution logic, and retrieval architecture that unify Rivian's Marketing, Sales, and Fulfillment data into a coherent, AI-consumable ecosystem. This is a foundational systems role: the agents are only as good as the context you build. You'll work at the intersection of data architecture, knowledge engineering, and applied AI, partnering closely with the Agentic Solutions team, Data Platform, MarTech, and the broader Customer org Analytics team.
Responsibilities
  • Customer Domain Ontology: Design, develop, and own the semantic layer and business ontology-mapping definitions, relationships, and business logic across Marketing, Sales, and Fulfillment. Ensure AI agents have a standardized, enterprise-wide conceptual framework to reason accurately and consistently.
  • Cross-Functional Data Modeling: Architect a unified 'Customer 360' schema that harmonizes disparate data streams from Marketing, Sales, and Fulfillment into a single, AI-consumable source of truth.
  • RAG & Vector Architecture: Design the Retrieval-Augmented Generation (RAG) infrastructure, determining how unstructured data (e.g., shipping logs, sales notes, brand guidelines) is indexed, chunked, and retrieved for agentic context.
  • Identity & State Orchestration: Build the logic for persistent identity resolution and conversation state, ensuring an AI agent can maintain customer context as they move from a sales inquiry to a fulfillment update.
  • Agentic Tooling & API Design: Architect the Action Layer-the secure framework of APIs and function calls that allow agents to execute tasks across Salesforce, Braze, and specialized in-house applications.
  • AI Data Governance: Establish protocols for data privacy, security, and latency, ensuring agents only access authorized data and respond with sub-second retrieval times.

Qualifications
  • Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field; Master's degree preferred.
  • Experience: 8+ years in Data Architecture, Systems Engineering, or Data Engineering, with a proven track record of designing complex, multi-source data ecosystems.
  • Semantic Modeling & Ontologies: Proven experience building semantic layers, knowledge graphs, or data ontologies. Ability to translate abstract business rules and cross-departmental relationships into structured data definitions that LLMs can naturally interpret.
  • Architectural Vision: A systems-thinking mindset; you can map how a change in a fulfillment status ripples through the data layer to inform a marketing re-engagement agent.
  • Databricks Expertise: Deep mastery of the Databricks ecosystem (Unity Catalog, Delta Lake, Vector Search) to manage the end-to-end data lifecycle for AI.
  • Technical Mastery: Expert-level command of vector databases and orchestration frameworks (e.g., LangChain, LlamaIndex). Expert-level Python and strong SQL. You understand the plumbing required to connect LLMs to enterprise data.
  • MarTech & CRM Literacy: Deep functional knowledge of how data is structured within CDP platforms, CRM systems (e.g., Salesforce), and behavioral event streams to support cross-departmental agent hand-offs.
  • Internal Systems Integration: Experience architecting data flows between modern cloud stacks and proprietary in-house applications, ensuring seamless bi-directional communication for AI agents.
  • Environment: Comfortable operating in a fast-paced, high-ambiguity environment with strong attention to detail, a builder's mentality, and the ability to make principled architectural decisions with incomplete information.
  • Ability to stand, sit, or walk for 8-10 hours per day.
  • Required to communicate using phone and/or e-mail.
  • Ability to view, read, and interpret documents.
  • Ability to perform all duties in an office environment that may contain ambient noise and temperature fluctuations.

Pay Disclosure
The salary range for this role is $154,000 to $192,500 for Irvine, CA and El Segundo, CA based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.
The successful candidate may be eligible for annual performance bonus and equity awards.
We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Plan if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.
You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than July 31, 2026.
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy and Technology
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.
AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.
Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.
Please note that we are currently not accepting applications from third party application services.

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009