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

NextDeavor Inc.

Principal Data Architect

Irvine, CA · On-site

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Production experience with Informatica Data Management Cloud (IDMC) or comparable enterprise ...

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Pwc

MDM Senior Architect-Manager

Irvine, CA · On-site

$99K - $232K/yr

Those in data quality and operations at PwC will focus on the accuracy, completeness, and ... The Opportunity As part of the Data Management team you architect end-to-end MDM solutions ...

Hyundai Capital

Sr. Data Warehouse Architect

Irvine, CA · On-site

What You Will Do 1. Enterprise Data Architecture Strategy and Design Define and evolve enterprise ... Establish standards for streaming, schema management, and processing models to support performance ...

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All JobsData Architect Manager JobsData Architect Manager Jobs in Riverside, CA

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 Jul 5, 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, and why are they important?

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:
Data Architect Manager jobs near you
Principal Data Architect

Principal Data Architect

NextDeavor Inc.

Irvine, CA • On-site

$126K - $214K/yr

Contractor

Posted 2 days ago

Job description

Principal Data Architect
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
Become a Key Player as a Principal Data Architect

You will design and build the enterprise data architecture that enables analytics, operations, and customer-facing data products for the organization. You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both define standards and implement critical models and reference implementations.

Here's How You'll Make an Impact on the Team
  • Define the enterprise data architecture across conceptual, logical, and physical models for analytical and operational platforms.
  • Design and maintain a meta-model capturing entities, relationships, business definitions, ownership, lineage, sensitivity classifications, and SLAs; integrate it with tooling.
  • Architect and drive lakehouse strategy (medallion bronze/silver/gold Delta Lake patterns), including partitioning, clustering, schema evolution, SCDs, and reproducibility.
  • Write PySpark, SQL, and Delta Lake code; build reference implementations, prototype patterns, review pull requests, and personally model critical domains.
  • Set patterns for ingestion via enterprise integration platforms and Databricks pipelines, including CDC, batch, streaming, and API-based sourcing.
  • Partner with governance, security, and compliance to operationalize cataloging, lineage, classification, masking, and access controls (e.g., Unity Catalog, IDMC).
  • Establish and standardize data modeling practices, naming conventions, and review processes; coach engineers on dimensional modeling and Data Vault approaches.
  • Identify tooling and capability gaps, propose investments, and drive multi-quarter initiatives to improve how the organization uses data.
Here's What You'll Need to Be Successful in This Role
  • 12–15+ years of progressive experience in data engineering, data warehousing, and data architecture, with several recent years at the architect level.
  • Demonstrated experience as a Data Architect at a SaaS company in FinTech or financial services software.
  • Deep, hands-on expertise with Databricks and PySpark on Azure, including Delta Lake, Unity Catalog, structured streaming, and performance tuning at scale.
  • Production experience with Informatica Data Management Cloud (IDMC) or comparable enterprise integration platforms.
  • Proven track record designing and shipping meta-models and end-to-end data models (conceptual, logical, physical) to production.
  • Strong command of dimensional modeling (Kimball), Data Vault 2.0, and modern lakehouse patterns; ability to choose the right approach per use case.
  • Expert SQL skills and strong proficiency in Python/PySpark; comfortable writing production code.
  • Experience implementing data governance, lineage, and metadata management programs.
  • Working knowledge of FinTech-relevant regulatory and compliance considerations (e.g., GLBA, SOC 2, PCI, NIST, state lending regulations).
  • Excellent written and verbal communication skills; able to explain complex data concepts to engineers, executives, customers, and auditors.
Here's What Else Might Help You Out
  • Prior experience designing data architectures for multi-tenant SaaS platforms with customer-facing analytics or embedded reporting.
  • Experience supporting loan origination, deposit account opening, or other consumer lending workflows and related data domains (applicants, applications, decisions, funding, servicing, credit data, fraud, KYC/AML).
  • Experience building feature stores or curated data products serving ML/AI workloads and BI consumers.
  • Familiarity with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, Synapse, Purview) in conjunction with Databricks.
  • Experience with dbt, Great Expectations, or other modern data quality and transformation tooling on Databricks.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
Pay Range

$126K to 214K/year

Ready to Make Your Mark?

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