OPT Enterprise Data Architect Jobs
Enterprise Data Architect jobs on OPT require employers willing to sponsor H-1B visa 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.
Find OPT Enterprise Data Architect JobsOverview
Showing 5 of 21+ Enterprise Data Architect jobs
See all Enterprise Data Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Enterprise Data Architect roles.
Get Access To All JobsINTRODUCTION
The MDHHS/DTMB AS Analytics and Visualization Division is seeking a Senior ETL Developer with extensive experience in IBM DataStage, IBM Cloud Pak for Data (CP4D), and Teradata 20. The resource will support enterprise data modernization efforts, including migration of legacy workloads to CP4D, development of robust ETL pipelines, and technical leadership for data quality, governance, and integration initiatives. This role requires strong analytical capabilities, advanced ETL engineering skills, and the ability to work effectively across complex enterprise environments.
ROLE AND RESPONSIBILITIES
- Design, build, enhance, and optimize ETL pipelines using IBM DataStage (parallel/server jobs, performance tuning, job sequencing).
- Support the migration of DataStage workloads from on-premise environments to IBM Cloud Pak for Data (CP4D), including refactoring, modernization, testing, and validation.
- Develop and optimize complex SQL and BTEQ scripts for Teradata 20, supporting large-scale data integrations and analytics workloads.
- Create automation scripts using Python, Shell scripting, and XML for ETL workflows and data processing.
- Apply Master Data Management (MDM) and data governance principles to ensure consistency, quality, and reliability across systems.
- Work collaboratively with MDHHS data architects, DBAs, analysts, business owners, and technical teams to align deliverables with program objectives.
- Conduct troubleshooting, root-cause analysis, and remediation activities for ETL pipeline issues.
- Support Agile delivery, including sprint participation, documentation, testing, and continuous improvement activities.
BASIC QUALIFICATIONS
- 1+ years of hands-on experience with IBM Cloud Pak for Data (CP4D).
- 3+ years of strong experience with Teradata 20, including SQL/BTEQ, performance optimization, and working with large enterprise datasets.
- 5+ years of Unix/Linux scripting and system operations.
- 3+ years of Advanced SQL for analysis and ETL support.
PREFERRED QUALIFICATIONS
- Public health, Health Industry, or State Government experience.
REQUIRED EDUCATION
- Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.
OTHER DESIRED SKILLS
- 5+ years of experience developing ETL solutions using IBM DataStage.
- Proficiency in:
- Python for automation
- MDM, data quality, and data governance methodologies
- Proven ability to translate business and technical requirements into scalable ETL and data integration solutions.
- Experience in large, complex enterprise data environments with multiple data sources.
- Prior experience supporting State of Michigan projects or other public-sector environments.
- Knowledge of IBM Knowledge Catalog (metadata, lineage, governance).
- Exposure to IBM Manta for lineage and impact analysis.
- Familiarity with cloud-native platforms such as OpenShift or Kubernetes.
- Experience with CI/CD pipelines, version control, and Agile methodologies.
INTRODUCTION
The MDHHS/DTMB AS Analytics and Visualization Division is seeking a Senior ETL Developer with extensive experience in IBM DataStage, IBM Cloud Pak for Data (CP4D), and Teradata 20. The resource will support enterprise data modernization efforts, including migration of legacy workloads to CP4D, development of robust ETL pipelines, and technical leadership for data quality, governance, and integration initiatives. This role requires strong analytical capabilities, advanced ETL engineering skills, and the ability to work effectively across complex enterprise environments.
ROLE AND RESPONSIBILITIES
- Design, build, enhance, and optimize ETL pipelines using IBM DataStage (parallel/server jobs, performance tuning, job sequencing).
- Support the migration of DataStage workloads from on-premise environments to IBM Cloud Pak for Data (CP4D), including refactoring, modernization, testing, and validation.
- Develop and optimize complex SQL and BTEQ scripts for Teradata 20, supporting large-scale data integrations and analytics workloads.
- Create automation scripts using Python, Shell scripting, and XML for ETL workflows and data processing.
- Apply Master Data Management (MDM) and data governance principles to ensure consistency, quality, and reliability across systems.
- Work collaboratively with MDHHS data architects, DBAs, analysts, business owners, and technical teams to align deliverables with program objectives.
- Conduct troubleshooting, root-cause analysis, and remediation activities for ETL pipeline issues.
- Support Agile delivery, including sprint participation, documentation, testing, and continuous improvement activities.
BASIC QUALIFICATIONS
- 1+ years of hands-on experience with IBM Cloud Pak for Data (CP4D).
- 3+ years of strong experience with Teradata 20, including SQL/BTEQ, performance optimization, and working with large enterprise datasets.
- 5+ years of Unix/Linux scripting and system operations.
- 3+ years of Advanced SQL for analysis and ETL support.
PREFERRED QUALIFICATIONS
- Public health, Health Industry, or State Government experience.
REQUIRED EDUCATION
- Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.
OTHER DESIRED SKILLS
- 5+ years of experience developing ETL solutions using IBM DataStage.
- Proficiency in:
- Python for automation
- MDM, data quality, and data governance methodologies
- Proven ability to translate business and technical requirements into scalable ETL and data integration solutions.
- Experience in large, complex enterprise data environments with multiple data sources.
- Prior experience supporting State of Michigan projects or other public-sector environments.
- Knowledge of IBM Knowledge Catalog (metadata, lineage, governance).
- Exposure to IBM Manta for lineage and impact analysis.
- Familiarity with cloud-native platforms such as OpenShift or Kubernetes.
- Experience with CI/CD pipelines, version control, and Agile methodologies.
See all OPT Enterprise Data Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Enterprise Data Architect Jobs.
Get Access To All JobsTips for Finding OPT 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 visa 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.
Enterprise Data Architect OPT: Frequently 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.