Software Architect Visa Sponsorship Jobs in Ohio
Ohio's software architect hiring is anchored by major employers in Columbus, Cleveland, and Cincinnati, including Nationwide, Huntington Bank, JPMorgan Chase, and a growing cluster of healthcare technology firms. Several of these organizations have established H-1B visa sponsorship track records, making Ohio a viable destination for international software architects pursuing U.S. work authorization.
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Job Description Summary
We are seeking an exceptional Senior Google Cloud Data Architect who is passionate about building world class, cloud native data platforms and data services that power the enterprise.
This is not a generic architect role — it is a high influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities.
You will play a key role in evolving our platforms to support not only analytics and operational workloads, but also emerging AI and intelligent application patterns that depend on high-quality, well-governed, and accessible data.
If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how data platforms evolve to support the next generation of intelligent systems, we want to meet you.
Job Description
Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ecosystem. In this high impact role, you’ll leverage Google Cloud to design and deliver scalable, secure, and reusable data platforms and APIs that fuel analytics, real-time processing, and enterprise integration.
You will define how data is ingested, processed, governed, and exposed across the organization, enabling consistent and reliable access to trusted data.
In parallel, you will help extend these platforms to support AI/ML and emerging agent-driven use cases, ensuring our data foundation is fully prepared to power intelligent applications and automated decisioning in a controlled, enterprise-ready manner.
Job Description Details:
- Define and evolve target-state data platform and data services architecture aligned to business strategy and modernization goals
- Establish enterprise standards and reference architectures for data as a service, event-driven architecture, and API-based data access
- Drive adoption of data as a strategic asset, enabling operational, analytical, and intelligent system use cases across the enterprise
- Architect scalable data platforms that support both traditional workloads and emerging AI/ML use cases, grounded in trusted enterprise data
- Define integration patterns that unify data services, APIs, and AI capabilities to enable intelligent applications and automation
- Enable data accessibility, reuse, and contextualization to support cross-platform consumption, including emerging agent-driven workflows
- Establish foundational patterns for data retrieval, context enrichment, and grounding to support advanced use cases such as AI and real-time decisioning
- Architect and design enterprise-grade data pipelines supporting batch, streaming, and real-time workloads
- Build and standardize data ingestion, transformation, and distribution frameworks that power scalable data services capabilities
- Ensure delivery of high-quality, governed, and trusted data pipelines that support analytics, APIs, and downstream intelligent applications
- Implement best practices for event-driven data movement and microservices-based integration patterns
- Design data models and structures that enable data productization and consumption across analytics, APIs, and AI-driven use cases
- Architect high-performance storage solutions (including Bigtable, Spanner and other GCP services) to meet throughput, latency, and scalability requirements
- Enable secure, governed, and efficient data access patterns across operational, analytical, and real-time environments
- Serve as a trusted advisor and technical leader, mentoring teams, driving best practices, and partnering with stakeholders to identify high-value data and AI-enabled use cases
Basic (Required) Qualifications
- Minimum 7 years of experience in data architecture, cloud data engineering, or enterprise data platform design.
- Deep hands-on expertise with multiple GCP services, including: BigQuery, Bigtable, Pub/Sub, Dataflow (Beam), Cloud Composer, GKE, Apigee, Cloud Storage, Gemini Enterprise Agent Platform
- Strong experience designing large scale data models for operational workloads.
- Proven ability to build resilient, scalable pipelines for high volume batch and streaming data.
- Proficiency in SQL and experience with Python or Java for data engineering pipelines.
- Strong understanding of distributed systems, workflow orchestration, real time analytics, and event-driven design.
- Experience designing secure, governed, production grade cloud architectures.
- Excellent communication skills with the ability to simplify complexity and influence decision makers.
Preferred Qualifications
- Experience with enterprise financial services, payments, or transaction heavy domains.
- Background in API first design, microservices, and federated data architectures.
- Familiarity with data governance frameworks, lineage, cataloging tools, or metadata platforms.
- Experience with DevOps, CI/CD, IaC (Terraform), or platform engineering concepts.
- Certification: Professional Data Engineer or Professional Cloud Architect (GCP).
Exempt Status: Yes (not eligible for overtime pay)
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Compensation Range:
Total Base Pay Range 93,000.00 - 189,000.00 USD Annual
The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).
Huntington is an Equal Opportunity Employer.
Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
Description
Job Description Summary
We are seeking an exceptional Senior Google Cloud Data Architect who is passionate about building world class, cloud native data platforms and data services that power the enterprise.
This is not a generic architect role — it is a high influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities.
You will play a key role in evolving our platforms to support not only analytics and operational workloads, but also emerging AI and intelligent application patterns that depend on high-quality, well-governed, and accessible data.
If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how data platforms evolve to support the next generation of intelligent systems, we want to meet you.
Job Description
Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ecosystem. In this high impact role, you’ll leverage Google Cloud to design and deliver scalable, secure, and reusable data platforms and APIs that fuel analytics, real-time processing, and enterprise integration.
You will define how data is ingested, processed, governed, and exposed across the organization, enabling consistent and reliable access to trusted data.
In parallel, you will help extend these platforms to support AI/ML and emerging agent-driven use cases, ensuring our data foundation is fully prepared to power intelligent applications and automated decisioning in a controlled, enterprise-ready manner.
Job Description Details:
- Define and evolve target-state data platform and data services architecture aligned to business strategy and modernization goals
- Establish enterprise standards and reference architectures for data as a service, event-driven architecture, and API-based data access
- Drive adoption of data as a strategic asset, enabling operational, analytical, and intelligent system use cases across the enterprise
- Architect scalable data platforms that support both traditional workloads and emerging AI/ML use cases, grounded in trusted enterprise data
- Define integration patterns that unify data services, APIs, and AI capabilities to enable intelligent applications and automation
- Enable data accessibility, reuse, and contextualization to support cross-platform consumption, including emerging agent-driven workflows
- Establish foundational patterns for data retrieval, context enrichment, and grounding to support advanced use cases such as AI and real-time decisioning
- Architect and design enterprise-grade data pipelines supporting batch, streaming, and real-time workloads
- Build and standardize data ingestion, transformation, and distribution frameworks that power scalable data services capabilities
- Ensure delivery of high-quality, governed, and trusted data pipelines that support analytics, APIs, and downstream intelligent applications
- Implement best practices for event-driven data movement and microservices-based integration patterns
- Design data models and structures that enable data productization and consumption across analytics, APIs, and AI-driven use cases
- Architect high-performance storage solutions (including Bigtable, Spanner and other GCP services) to meet throughput, latency, and scalability requirements
- Enable secure, governed, and efficient data access patterns across operational, analytical, and real-time environments
- Serve as a trusted advisor and technical leader, mentoring teams, driving best practices, and partnering with stakeholders to identify high-value data and AI-enabled use cases
Basic (Required) Qualifications
- Minimum 7 years of experience in data architecture, cloud data engineering, or enterprise data platform design.
- Deep hands-on expertise with multiple GCP services, including: BigQuery, Bigtable, Pub/Sub, Dataflow (Beam), Cloud Composer, GKE, Apigee, Cloud Storage, Gemini Enterprise Agent Platform
- Strong experience designing large scale data models for operational workloads.
- Proven ability to build resilient, scalable pipelines for high volume batch and streaming data.
- Proficiency in SQL and experience with Python or Java for data engineering pipelines.
- Strong understanding of distributed systems, workflow orchestration, real time analytics, and event-driven design.
- Experience designing secure, governed, production grade cloud architectures.
- Excellent communication skills with the ability to simplify complexity and influence decision makers.
Preferred Qualifications
- Experience with enterprise financial services, payments, or transaction heavy domains.
- Background in API first design, microservices, and federated data architectures.
- Familiarity with data governance frameworks, lineage, cataloging tools, or metadata platforms.
- Experience with DevOps, CI/CD, IaC (Terraform), or platform engineering concepts.
- Certification: Professional Data Engineer or Professional Cloud Architect (GCP).
Exempt Status: Yes (not eligible for overtime pay)
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Compensation Range:
Total Base Pay Range 93,000.00 - 189,000.00 USD Annual
The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).
Huntington is an Equal Opportunity Employer.
Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
Software Architect Job Roles in Ohio
See all 39+ Software Architect Jobs in Ohio
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Search Software Architect Jobs in OhioSoftware Architect Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for software architects in Ohio?
Several large Ohio-based employers have consistent H-1B sponsorship histories for software architects. These include Nationwide Insurance and Huntington National Bank in Columbus, Progressive Insurance and KeyBank in Cleveland, and Fifth Third Bank in Cincinnati. Healthcare technology companies such as Evolent Health and large hospital systems also hire software architects and have filed LCAs for these roles.
Which visa types are most common for software architect roles in Ohio?
The H-1B is the most common visa category for software architects in Ohio, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, software engineering, or a related field. Candidates with an approved I-140 may also work under H-1B extensions beyond six years. L-1A and O-1 visas are less common but used by some multinationals and exceptionally qualified candidates.
How to find software architect visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically for visa sponsorship, making it easier to find software architect roles in Ohio without sorting through positions that exclude international candidates. You can search by role and state to surface active openings from employers who have sponsored visas before. This is more efficient than broad job searches that do not surface sponsorship intent.
Which cities in Ohio have the most software architect sponsorship jobs?
Columbus is Ohio's most active market for software architect sponsorship, driven by a dense concentration of insurance, banking, and healthcare technology employers. Cleveland has a notable presence in financial services and healthcare IT, while Cincinnati benefits from proximity to large consumer goods and logistics companies with technology divisions. Dublin and Westerville, suburbs of Columbus, also host significant technology operations.
Are there any Ohio-specific factors software architects should know when seeking visa sponsorship?
Ohio's prevailing wage requirements for H-1B software architect roles are benchmarked to each metropolitan area, so Columbus, Cleveland, and Cincinnati may carry different wage level thresholds. Ohio State University, Case Western Reserve, and the University of Cincinnati produce engineering graduates who feed local employer pipelines, meaning competition for sponsored roles from OPT candidates can be meaningful. Employers filing LCAs must post public notices at the work site.
What is the prevailing wage for sponsored software architect jobs in Ohio?
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.