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Remote Data Architect Jobs in San Ramon, CA (NOW HIRING)

Data Architect

Menlo Park, CA · Remote

$75.25 - $96.75/hr

Menlo Park, CA (Remote) Experience: 12+ Years Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a nervous system where ...

Menlo Park, CA (Remote) Role Type: Contract Experience: 12+ Years Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a ...

Senior Data Architect

San Francisco, CA · On-site +1

$79.25 - $106/hr

Architect & Model: Design and manage data domains to enable the creation of interoperable ... We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

As a technical lead on Data, you will own the next phase of our data architecture, shaping both the platform and how data is leveraged across the product. This is a hands-on, high-impact role focused ...

Data Practice Lead

Milpitas, CA · On-site +1

$175K/yr

Architect Agentic AI and Generative AI solutions, ensuring scalability, performance, and security. * Collaborate with product managers, data scientists, and engineering teams to design robust ...

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Remote Data Architect information

See San Ramon, CA salary details

$12

$78

$105

How much do remote data architect jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote data architect in San Ramon, CA is $78.20, according to ZipRecruiter salary data. Most workers in this role earn between $68.51 and $88.12 per hour, depending on experience, location, and employer.

How much does a remote architect make?

A remote data architect typically earns between $90,000 and $150,000 annually, depending on experience, industry, and location. Senior roles with specialized skills in cloud platforms and data modeling can command higher salaries, and remote positions often offer competitive compensation packages.

What are the key skills and qualifications needed to thrive as a Remote Data Architect, and why are they important?

To thrive as a Remote Data Architect, you need expertise in data modeling, database design, and cloud architecture, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, NoSQL databases, ETL platforms, and cloud services (such as AWS, Azure, or Google Cloud) is essential, and certifications like AWS Certified Solutions Architect are often valued. Strong analytical skills, effective communication, and the ability to collaborate across distributed teams help you stand out in this role. These skills and qualities ensure robust, scalable data solutions that meet business needs in a remote work environment.

What is a Remote Data Architect?

A Remote Data Architect is a professional who designs, builds, and manages data systems and structures for organizations, but works from a remote location rather than onsite. They are responsible for creating data models, defining database architecture, and ensuring data integrity, security, and scalability. Remote Data Architects collaborate with stakeholders and technical teams via digital communication tools to align data strategies with business needs. Their role is critical in supporting data-driven decision-making and enabling efficient data flow across distributed systems.

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

AspectRemote Data ArchitectRemote Data Engineer
Required CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data tools
Work EnvironmentDesigns data systems, collaborates with stakeholders, oversees architectureBuilds, tests, and maintains data pipelines and infrastructure
Employer & Industry UsageUsed in organizations with complex data needs, analytics, and BICommon in tech, finance, healthcare, and e-commerce sectors

The Remote Data Architect focuses on designing and planning data systems, ensuring they meet organizational needs. In contrast, the Remote Data Engineer implements and maintains these systems by building data pipelines and infrastructure. Both roles require similar credentials and often work within the same industries, but their core responsibilities differ in scope and focus.

How does a Remote Data Architect typically collaborate with cross-functional teams to design and implement data solutions?

As a Remote Data Architect, you will frequently work with various stakeholders, including data engineers, business analysts, and IT managers, often through virtual meetings and collaborative tools. Effective communication is essential to gather requirements, align on data strategy, and ensure that data models support both technical and business needs. You may also conduct code reviews, provide architectural guidance, and help troubleshoot issues. Building strong relationships and maintaining clear documentation are key to successful remote collaboration and project delivery.

Can data architects work from home?

Data architects can often work from home, especially in organizations that support remote work and utilize collaboration tools like cloud platforms and data modeling software. The role typically involves designing data systems, which can be performed remotely with access to necessary technology and secure networks.

How much does a data architect get paid?

A remote data architect typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Senior roles with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 per year.

What Are Remote Jobs for a Data Architect?

As a remote data architect, you help develop, implement, and perform maintenance on a data management system. Your duties involve designing a plan to organize and protect information, reviewing data sources, ensuring accuracy and accessibility, troubleshooting system issues, and updating programs. A remote data architect may also provide support, communicating with clients via email, phone calls, or video conferencing. This is a telecommute position.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data effectively. They play a key role in designing data systems, and their expertise in database management, cloud platforms, and data modeling makes them valuable across many industries. The role often requires strong technical skills and certifications in data management tools or cloud services.
What are the most commonly searched types of Data Architect jobs in San Ramon, CA? The most popular types of Data Architect jobs in San Ramon, CA are:
What job categories do people searching Remote Data Architect jobs in San Ramon, CA look for? The top searched job categories for Remote Data Architect jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Data Architect jobs? Cities near San Ramon, CA with the most Remote Data Architect job openings:

$75.25 - $96.75/hr

Other

Posted 7 days ago


Job description

Job Description Data Architect Location: Menlo Park, CA (Remote) Experience: 12+ Years Job Description Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a nervous system where metadata is active, governance is computational, and data sharing is zero-copy. Mandatory Skills: - Active Metadata: Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair)

- Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. - Production-level Open Policy Agent (OPA)/ Policy-as-Code(Zero-Trust) for dynamic, context-aware access control. Other Technical Skills: - Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.

- Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress. - Compute: Trino (GraalVM), StarRocks, DuckDB (WASM). - Orchestration: Dagster, Airflow (Provider-level).

- Semantic Layer: Stardog, Apache Jena, GraphQL Federation. - System Languages: Rust, Clojure, or Java. Note Education M.S./Ph.D

in Computer Science (Formal Methods/Logic) or Computational Mathematics.