Enterprise Data Architect Jobs for OPT Students
Enterprise Data Architect jobs on OPT require employers willing to sponsor H-1B or support STEM OPT extension, since the role falls squarely under CIP code 11.0101. Most hiring happens at large enterprises with established immigration programs, and your 60-day job search window makes early outreach to those employers essential.
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Job Description
The Enterprise Data Architect, Lead plays a crucial role in designing, implementing, and maintaining data integration solutions within our organization. This role collaborates with customers and cross-functional teams to ensure seamless data pipelines from customers’ systems. The expertise for this role will contribute to the organization’s overall strategy and architecture for data acquisition.
Job Duties
- Leads the enterprise application integration strategy and platform architecture
- Collaborates with customers to design and develop robust integration solutions with heterogeneous systems. Responsibilities include engaging with customers, creating architecture blueprints, and ensuring seamless integration with customers’ systems. Possesses strong communication skills, architectural expertise, and a focus on security considerations.
- Develops the IT strategy with regards to best practice for systems and applications integration
- Defines the high-level integration blueprint architecture that will service the business needs and wider business transformation
- Is responsible, overall, for the successful delivery of Integration projects
- Works with Development team to ensure alignment to the Architecture Principles, Architecture Blueprint, Design Principles and Patterns and Technology roadmap
- Provides new ideas and different approaches to the Chief Technology Officer and enterprise architecture team
- Facilitate knowledge sharing and provide technical guidance and mentorship to team members.
- Drive the recruitment process to build and grow a high-performing data engineering team
Accountabilities/Results/Success For This Role
- Successful design and deployment of scalable and secure data architectures and data pipelines.
- Enhanced data quality, efficiency, and accessibility across the organization.
- Effective execution of data integration projects, demonstrating strong project management skills and consistent delivery on time and within scope.
- Continuous improvement and adoption of emerging data technologies and practices.
- Creation of innovative, customer-focused data solutions that set the organization apart and add measurable value.
Measures
Targets (meets expectations)
- Percentage of projects delivered on time: 80%
- Team utilization: 80%
- Data Solutions: 3
Required Qualifications/Skills/Competencies
- Proven experience in data architecture or a similar role, with a focus on data integration.
- Strong knowledge of data integration patterns, ETL, APIs, and messaging protocols (e.g., REST, SOAP).
- Demonstrated experience with enterprise database technologies and data modeling.
- Proficiency in SQL, Python, and other data processing languages.
- Experience with cloud-based data solutions (Azure, AWS, etc.) and big data technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Experience with data governance and compliance measures.
- Background in developing and deploying solutions in industrial or operational settings.
- Familiarity with SAP, Maximo, and other enterprise management systems.
- Knowledge of Cognite Data Fusion and other Cognite solutions.
- Understanding of microservices architecture and containerization (e.g. Docker, Kubernetes).
Equipment and Software Knowledge
- Expertise in data integration tools and platforms (e.g., Azure Data Factory, Informatica, Talend).
- Proficiency in big data platforms (Hadoop, Spark, etc.) and analytics tools (Power BI, Tableau).
- Familiarity with DevOps tools and practices (e.g. Azure DevOps).
Direct Reports
Data Engineers will report to this role
Pinnacle is an equal employment opportunity employer and does not discriminate based on race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, genetic information, or any other characteristic protected by applicable law.
We are building a team of trailblazers, who embody growth, impact, and excellence.
Job Description
The Enterprise Data Architect, Lead plays a crucial role in designing, implementing, and maintaining data integration solutions within our organization. This role collaborates with customers and cross-functional teams to ensure seamless data pipelines from customers’ systems. The expertise for this role will contribute to the organization’s overall strategy and architecture for data acquisition.
Job Duties
- Leads the enterprise application integration strategy and platform architecture
- Collaborates with customers to design and develop robust integration solutions with heterogeneous systems. Responsibilities include engaging with customers, creating architecture blueprints, and ensuring seamless integration with customers’ systems. Possesses strong communication skills, architectural expertise, and a focus on security considerations.
- Develops the IT strategy with regards to best practice for systems and applications integration
- Defines the high-level integration blueprint architecture that will service the business needs and wider business transformation
- Is responsible, overall, for the successful delivery of Integration projects
- Works with Development team to ensure alignment to the Architecture Principles, Architecture Blueprint, Design Principles and Patterns and Technology roadmap
- Provides new ideas and different approaches to the Chief Technology Officer and enterprise architecture team
- Facilitate knowledge sharing and provide technical guidance and mentorship to team members.
- Drive the recruitment process to build and grow a high-performing data engineering team
Accountabilities/Results/Success For This Role
- Successful design and deployment of scalable and secure data architectures and data pipelines.
- Enhanced data quality, efficiency, and accessibility across the organization.
- Effective execution of data integration projects, demonstrating strong project management skills and consistent delivery on time and within scope.
- Continuous improvement and adoption of emerging data technologies and practices.
- Creation of innovative, customer-focused data solutions that set the organization apart and add measurable value.
Measures
Targets (meets expectations)
- Percentage of projects delivered on time: 80%
- Team utilization: 80%
- Data Solutions: 3
Required Qualifications/Skills/Competencies
- Proven experience in data architecture or a similar role, with a focus on data integration.
- Strong knowledge of data integration patterns, ETL, APIs, and messaging protocols (e.g., REST, SOAP).
- Demonstrated experience with enterprise database technologies and data modeling.
- Proficiency in SQL, Python, and other data processing languages.
- Experience with cloud-based data solutions (Azure, AWS, etc.) and big data technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Experience with data governance and compliance measures.
- Background in developing and deploying solutions in industrial or operational settings.
- Familiarity with SAP, Maximo, and other enterprise management systems.
- Knowledge of Cognite Data Fusion and other Cognite solutions.
- Understanding of microservices architecture and containerization (e.g. Docker, Kubernetes).
Equipment and Software Knowledge
- Expertise in data integration tools and platforms (e.g., Azure Data Factory, Informatica, Talend).
- Proficiency in big data platforms (Hadoop, Spark, etc.) and analytics tools (Power BI, Tableau).
- Familiarity with DevOps tools and practices (e.g. Azure DevOps).
Direct Reports
Data Engineers will report to this role
Pinnacle is an equal employment opportunity employer and does not discriminate based on race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, genetic information, or any other characteristic protected by applicable law.
How to Get Visa Sponsorship in Enterprise Data Architect
Target enterprises with dedicated immigration programs
Large financial institutions, healthcare systems, and technology companies like banks and insurers typically have immigration counsel on retainer. These employers process H-1B sponsorships routinely, making them far more likely to extend OPT and sponsor your transition.
Lead with your data governance and cloud architecture credentials
Hiring managers for this role prioritize candidates with hands-on experience in platforms like AWS, Azure, or Snowflake. Certifications in cloud architecture signal you can contribute immediately, which strengthens the business case for sponsoring your work authorization.
Frame your OPT timeline around the H-1B cap registration window
H-1B registration opens each March for October 1 start dates. If your STEM OPT extension is active, you have up to three years of runway. Knowing this timeline lets you negotiate start dates and reassure employers the transition is manageable.
Pursue STEM OPT extension before your initial OPT expires
Enterprise Data Architect roles fall under STEM-eligible CIP codes. Filing your STEM OPT extension early gives you a 24-month extension and continuous work authorization, which removes one of the biggest concerns employers cite when evaluating international candidates.
Build your case around enterprise-scale project outcomes
Quantify the data infrastructure you have designed: number of data sources integrated, query performance improvements, or cost reductions achieved. Concrete business outcomes make sponsorship conversations easier because they demonstrate clear return on the employer's investment in your authorization.
Identify decision-makers beyond the recruiter early in the process
Sponsorship decisions often involve HR, legal, and the hiring manager simultaneously. Reaching the hiring manager directly and explaining your OPT and STEM extension eligibility early prevents deals from dying in HR screening before a technical decision-maker ever reviews your profile.
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Get Access To All JobsFrequently Asked Questions
Does an Enterprise Data Architect role qualify for STEM OPT extension?
Yes. Enterprise Data Architect positions typically fall under CIP code 11.0101 (Computer and Information Sciences) or 14.0901 (Computer Engineering), both of which are on the STEM Designated Degree Program list. To qualify, your degree must match one of those codes and your employer must enroll in E-Verify. Confirm your specific degree CIP code with your DSO before applying for the extension.
How do I find Enterprise Data Architect jobs that sponsor OPT and H-1B?
Migrate Mate filters job listings specifically for employers willing to sponsor work visas, so you are not wasting applications on roles that will reject you at the authorization stage. Enterprise data roles with sponsorship tend to cluster in financial services, healthcare IT, and large technology companies, all of which are well represented on the platform.
Will my OPT status hold up if the Enterprise Data Architect role involves consulting or client sites?
OPT requires a direct employment relationship with the sponsoring employer. If you are placed at client sites as a third-party consultant, that arrangement can jeopardize your OPT authorization because USCIS and ICE look for a genuine employer-employee relationship. Roles at the enterprise itself, rather than staffing or consulting intermediaries, are the safest structure for maintaining valid OPT status.
What happens to my OPT authorization if I am laid off from an Enterprise Data Architect position?
You enter a 60-day grace period the day your employment ends. During that window you must either find a new qualifying OPT employer, change to another visa status, or depart the United States. Report the job loss to your DSO immediately so they can update your SEVIS record. Starting your next job search on day one of the grace period, not day 59, is critical given how long enterprise hiring cycles typically run.
Can I work as a contract or 1099 Enterprise Data Architect on OPT?
Self-employment and independent contracting are technically permissible on OPT, but only if you can demonstrate a genuine business with multiple clients and real employer-employee control. In practice, most DSOs and immigration attorneys advise against it because USCIS scrutinizes these arrangements closely. A W-2 position with a single employer offering full sponsorship is significantly safer and easier to document for any future visa petition.
See which Enterprise Data Architect employers are hiring and sponsoring visas right now.
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