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

Sr. Data Platform Architect

San Jose, CA · On-site

$78.75 - $105.50/hr

  • Medical

  • Retirement

  • PTO

We are seeking a hands-on, driven, and innovative Senior / Staff Data Platform Architect to define, build, and scale the enterprise data platform foundation. This role requires an architect who can ...

Sr. Data Platform Architect

San Jose, CA · On-site

$78.75 - $105.50/hr

  • Medical

  • Retirement

  • PTO

We are seeking a hands-on, driven, and innovative Senior / Staff Data Platform Architect to define, build, and scale the enterprise data platform foundation. This role requires an architect who can ...

Data Architect

San Ramon, CA

$71.25 - $91.75/hr

... L Architect. Candidate Should be fully competent to work under general direction on complex ... with senior associates and manager as required. Typically required 7-10 years of applicable ...

Sr Data & AI Solution Architect

Emeryville, CA · On-site

$165K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role: We are seeking a highly experienced Senior Data & AI Solution Architect to lead the design and implementation of scalable data platforms and AI-driven solutions across the ...

Senior Data Security Architect

San Francisco, CA · On-site

$181 - $217/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Security Architect As the Senior Data Security Architect, you will be Fastly's technical authority on protecting sensitive data across our corporate and production systems. Your goal is ...

New

Senior Data Analyst

Pleasanton, CA

$95K - $120K/yr

Company Description Tech Tammina LLC Sr. Data Solutions Consultant to support large healthcare ... Document the project and programs data architecture and environment in order to maintain a current ...

We are looking for a highly skilled Senior Data Engineer / Data Architect with deep hands-on expertise in Azure, Databricks, PySpark, Python, SQL, and modern data warehousing . This role is ideal for ...

Staff Enterprise Data Architect

San Francisco, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

Cultivate and guide a community of senior domain and data architects, establishing the enterprise-level reference architectures, principles, and standards they use to execute our objectives. * Drive ...

They are seeking a highly skilled Senior Data Engineer / Data Architect with extensive experience in Azure and Databricks to build large-scale data platforms and deliver high-quality data products in ...

Senior Staff Enterprise Architect, Data

Palo Alto, CA · On-site

$79 - $105.75/hr

  • Medical

  • Retirement

  • PTO

You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data ...

Senior Staff Enterprise Architect, Data

Palo Alto, CA · Hybrid

$79 - $105.75/hr

You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data ...

Showing results 21-40

Senior Data Architect information

See San Ramon, CA salary details

$44

$84

$114

How much do senior data architect jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for senior data architect in San Ramon, CA is $84.24, according to ZipRecruiter salary data. Most workers in this role earn between $72.26 and $96.73 per hour, depending on experience, location, and employer.

What does a senior data architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

What are the key skills and qualifications needed to thrive as a senior data architect?

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

How does a senior data architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

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

AspectSenior Data ArchitectData Engineer
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 or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

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 are popular job titles related to Senior Data Architect jobs in San Ramon, CA?

For Senior Data Architect jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Senior Data Architect jobs in San Ramon, CA look for?

The top searched job categories for Senior Data Architect jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Senior Data Architect jobs?

Cities near San Ramon, CA with the most Senior Data Architect job openings:

Infographic showing various Senior Data Architect job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $175,229 per year, or $84.2 per hour.

Sr. Data Platform Architect

Nutanix

San Jose, CA • On-site

$78.75 - $105.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago


Job description

Hungry, Humble, Honest, with Heart.
The Opportunity
Are you a visionary data architect with a passion for turning innovative designs into scalable, production-ready solutions? If so, you will thrive in our dynamic team at Nutanix, where you will have the opportunity to shape cutting-edge data platform architecture, drive enterprise-level data strategies, and collaborate with talented professionals to enable impactful analytics and machine learning initiatives.
We are seeking a hands-on, driven, and innovative Senior / Staff Data Platform Architect to define, build, and scale the enterprise data platform foundation. This role requires an architect who can move from strategy to working solutions - shaping the roadmap, setting engineering standards, and driving complex designs into production.
The role leads core platform architecture across ingestion, storage, compute, orchestration, security, governance integration, observability, and operations. The successful candidate will build a resilient, secure, AI-ready platform that enables Data Engineering, BI, Analytics, and ML/AI teams to deliver trusted data products at enterprise scale.
This role owns technical data platform architecture, engineering frameworks, and production-grade solution delivery. It does not own enterprise semantic-layer design, KPI harmonization, business metric definitions, dashboard interpretation standards, or business terminology governance; those responsibilities remain with the analytics / semantic-layer architecture function.
About the Team
At Nutanix, the Data Analytics team is a dynamic group of over 50 collaborative and innovative professionals spread across the US and India. This diverse team consists of data scientists, analysts, and engineers who work together to drive insights and enhance decision-making through data-driven strategies. The culture within the team fosters open communication, encourages fresh ideas, and values each member's contribution, making it an exciting environment for those passionate about analytics and technology.
You will report to the Sr. Director of Data Analytics, who prioritizes mentorship and professional development while leading a supportive team environment. This position is a hybrid role, requiring you to work in the office for three days a week at our headquarters in San Jose, CA, providing the opportunity to collaborate in person with your colleagues while also allowing for flexibility. Travel requirements for this role are minimal, ensuring you can focus on your work without frequent disruptions.
Your Role
  • Lead the design and implementation of a scalable, resilient enterprise data platform integrating advanced technologies and best practices.
  • Establish and enforce architecture standards for data ingestion, storage, processing, and security to drive efficient operations and data quality.
  • Collaborate cross-functionally with Data Engineering, BI, Analytics, and ML/AI teams to create streamlined access to trusted data.
  • Construct reusable engineering frameworks for efficient ETL/ELT processes, automation, and data lifecycle management.
  • Drive observability and performance optimization strategies, ensuring the platform meets defined reliability and performance objectives.
  • Mentor engineering teams on scalable design principles, production-readiness, and operational excellence to foster a culture of innovation.
  • Evaluate and assess emerging technologies, leading proof-of-concepts to identify opportunities for platform enhancements and future scalability.
  • Set clear first-year objectives, including successful deployment of key platform features, improved data quality metrics, and enhanced operational monitoring systems.

What You Will Bring
  • 12+ years of experience in data architecture, engineering, or related fields; 5+ years in large-scale data platforms.
  • Proficient in designing and implementing solutions using SQL, Apache Spark, ETL/ELT frameworks, and orchestration tools.
  • Strong understanding of data storage formats, lifecycle management, and performance optimization techniques.
  • Hands-on experience with cloud technologies and platforms like Kubernetes, Trino, Dremio, and Informatica.
  • Expertise in implementing security controls such as RBAC, encryption, and audit logging for data governance.
  • Ability to drive architectural decisions and collaborate with cross-functional teams effectively.
  • Experience with DevOps practices, CI/CD, and infrastructure-as-code for seamless data platform operations.
  • Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degree preferred.

Work Arrangement
Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $ 179,000 and USD $ 359,000 per year.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.
Nutanix is an equal opportunity employer.
Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting [email protected].