Data Architect Visa Sponsorship Jobs in California
California is one of the top states for data architect visa sponsorship, driven by tech giants in Silicon Valley, cloud-focused employers in San Francisco, and a growing enterprise data sector in Los Angeles. Companies like Apple, Google, Meta, Salesforce, and Oracle regularly hire data architects and have established H-1B visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
Requisition ID
199662
Date posted
06/01/2026
Work Location Model
On-site Flex
Work Location
Fremont-CA
Work Country
United States
The group you’ll be a part of
Global Information Systems
The impact you’ll make
As a Data architect supporting digital transformation in GBIS (Global Business Intelligence Solutions) group at Lam Research, you'll be responsible for designing and developing data engineering and integration solutions for future systems. Your role includes drafting specifications, creating solution designs, coordinating with development teams, and collaborating with data architecture, business, and development groups. You'll also advise application and business development teams on complex analytics design, ensuring alignment with Data and Analytics Hub principles, standards, and strategies.
What you’ll do
- Use leadership skills to drive process, data, analytics, and AI design from discovery to delivery.
- Collaborate with Business and GIS stakeholders to support big data platform initiatives and provide direction on defining data strategy and architecture for cloud-native platforms.
- Design and develop data engineering solutions and data governance specifications as part of digital transformation processes.
- Participate in business transformation workshops with subject matter experts to identify data and process gaps, proposing scalable data and analytics architectures to address those needs.
- Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement.
- Offer guidance and insights on emerging data analytics trends and technical capabilities that can enhance digital transformation across the company.
- Demonstrate advanced data and analytics solutions to digital transformation teams, showing the potential of the Data Fabric platform with proof-of-concept projects.
- Develop, uphold, and advocate for advanced analytics standards and procedures throughout the GIS Data Hub across the entire organization.
- Design planning and analytics solutions by integrating Workday Adaptive with the Azure analytics stack (Microsoft Fabric, Synapse, Power BI), including ETL/ELT pipelines to support enterprise decision-making.
- Build strong relationships with key business sponsors and IT resources to efficiently resolve work requests.
Who we’re looking for
- Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master's or PhD preferred.
- Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.
- Over 10 years of SQL experience with cloud-native data warehousing and data modeling.
- Over 5 years of experience in building and supporting FP&A applications, integrating platforms such as Workday Adaptive, Anaplan, SAP BPC etc. with ERP systems and Azure data platform.
- Over 5 years of experience configuring Azure cloud and SaaS platforms and building automated ETL/ELT pipelines for real-time, streaming and batch data exchange.
- Minimum of 3 years working extensively with Spark and Python technologies for big data processing.
- At least 3 years of hands-on experience implementing end-to-end medallion architecture using Databricks or similar cloud tools.
- Proven background in schema design and dimensional data modeling.
- Comprehensive knowledge of data warehouse best practices, development standards, and methodologies using platforms like MS Fabric, Azure Synapse, Redshift, etc.
- Skilled communicator and presenter, with a record of leveraging insights to influence executives and team members.
Preferred qualifications
- Experience with financial planning platforms and related business processes (eg: budgeting, forecasting and long-term planning) is a plus.
- Strong background in working with and analyzing large datasets, particularly in IoT and enterprise domains.
- Preferred: Strong computer science and mathematics foundation.
- Excellent SQL/query writing skills and communication abilities.
- Familiarity with common APIs, such as REST and SOAP, is advantageous.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
INTRODUCTION
Requisition ID
199662
Date posted
06/01/2026
Work Location Model
On-site Flex
Work Location
Fremont-CA
Work Country
United States
The group you’ll be a part of
Global Information Systems
The impact you’ll make
As a Data architect supporting digital transformation in GBIS (Global Business Intelligence Solutions) group at Lam Research, you'll be responsible for designing and developing data engineering and integration solutions for future systems. Your role includes drafting specifications, creating solution designs, coordinating with development teams, and collaborating with data architecture, business, and development groups. You'll also advise application and business development teams on complex analytics design, ensuring alignment with Data and Analytics Hub principles, standards, and strategies.
What you’ll do
- Use leadership skills to drive process, data, analytics, and AI design from discovery to delivery.
- Collaborate with Business and GIS stakeholders to support big data platform initiatives and provide direction on defining data strategy and architecture for cloud-native platforms.
- Design and develop data engineering solutions and data governance specifications as part of digital transformation processes.
- Participate in business transformation workshops with subject matter experts to identify data and process gaps, proposing scalable data and analytics architectures to address those needs.
- Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement.
- Offer guidance and insights on emerging data analytics trends and technical capabilities that can enhance digital transformation across the company.
- Demonstrate advanced data and analytics solutions to digital transformation teams, showing the potential of the Data Fabric platform with proof-of-concept projects.
- Develop, uphold, and advocate for advanced analytics standards and procedures throughout the GIS Data Hub across the entire organization.
- Design planning and analytics solutions by integrating Workday Adaptive with the Azure analytics stack (Microsoft Fabric, Synapse, Power BI), including ETL/ELT pipelines to support enterprise decision-making.
- Build strong relationships with key business sponsors and IT resources to efficiently resolve work requests.
Who we’re looking for
- Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master's or PhD preferred.
- Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.
- Over 10 years of SQL experience with cloud-native data warehousing and data modeling.
- Over 5 years of experience in building and supporting FP&A applications, integrating platforms such as Workday Adaptive, Anaplan, SAP BPC etc. with ERP systems and Azure data platform.
- Over 5 years of experience configuring Azure cloud and SaaS platforms and building automated ETL/ELT pipelines for real-time, streaming and batch data exchange.
- Minimum of 3 years working extensively with Spark and Python technologies for big data processing.
- At least 3 years of hands-on experience implementing end-to-end medallion architecture using Databricks or similar cloud tools.
- Proven background in schema design and dimensional data modeling.
- Comprehensive knowledge of data warehouse best practices, development standards, and methodologies using platforms like MS Fabric, Azure Synapse, Redshift, etc.
- Skilled communicator and presenter, with a record of leveraging insights to influence executives and team members.
Preferred qualifications
- Experience with financial planning platforms and related business processes (eg: budgeting, forecasting and long-term planning) is a plus.
- Strong background in working with and analyzing large datasets, particularly in IoT and enterprise domains.
- Preferred: Strong computer science and mathematics foundation.
- Excellent SQL/query writing skills and communication abilities.
- Familiarity with common APIs, such as REST and SOAP, is advantageous.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $137,000.00 - $287,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
Data Architect Job Roles in California
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Search Data Architect Jobs in CaliforniaData Architect Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data architects in California?
California's largest H-1B sponsors for data architecture roles include Apple, Google, Meta, Salesforce, Oracle, Cisco, and Adobe, all headquartered in the Bay Area. Enterprise tech firms in Los Angeles such as Snap and Riot Games also file sponsorships for data architects. Cloud-native companies and healthcare data firms across the state round out the employer pool.
Which visa types are most common for data architect roles in California?
The H-1B is by far the most common visa for data architects in California, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Australian nationals may pursue the E-3 visa as an alternative. Candidates already holding L-1B or O-1 visa status can also work in data architecture roles without entering the H-1B lottery.
Which cities in California have the most data architect sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, and Mountain View, concentrates the highest volume of data architect sponsorship roles due to the density of major tech employers. Los Angeles has a growing second tier, particularly in media tech, fintech, and healthcare data. San Diego sees demand from biotech and defense contractors, while Sacramento increasingly attracts enterprise data roles tied to state government modernization projects.
How to find data architect visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find data architect roles in California where employers have already indicated willingness to sponsor. Rather than sorting through general job boards, you can search Migrate Mate directly for data architect positions in cities like San Francisco, Los Angeles, or San Jose and see which companies have active H-1B or E-3 visa sponsorship histories.
Are there state-specific considerations for data architect roles and visa sponsorship in California?
California employers sponsoring H-1B data architects must comply with Department of Labor prevailing wage requirements, which are set at high levels in metros like San Francisco and San Jose given the competitive local market. California also enforces strict worker classification laws, so roles must be clearly structured as direct employment rather than independent contracting. Many data architect candidates in California come through graduate programs at UC Berkeley, Stanford, UCLA, and UCSD, giving those schools strong pipelines into sponsored roles.
What is the prevailing wage for sponsored data architect jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.