STEM OPT Database Architect Jobs
Database Architect roles qualify for the 24-month STEM OPT extension if your degree falls under an eligible CIP code in computer science, information systems, or a related field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension starts.
Find STEM OPT Database Architect JobsOverview
Showing 5 of 47+ Database Architect jobs
See all 47+ Database Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Database Architect roles.
Get Access To All JobsJob Title: Senior Database Developer
Location: Auburn Hills, MI
The position bridges the gap between ICT and plant execution by understanding both technical system requirements and manufacturing operational needs.
Summary of Duties, Responsibilities, and Knowledge Required
The Database Developer is required to support the planning, design, development, implementation, and continuous improvement of manufacturing data systems. This position enables standardized reporting, advanced analytics, digital tools, and user interfaces needed to improve plant performance, identify bottlenecks, and support operational decision-making across the organization.
Summary of Duties and Responsibilities
- Plan, design, develop, and implement company databases for reporting, analytics, and operational decision support.
- Modify existing databases and develop new database solutions from concept through deployment.
- Define data structures, database requirements, documentation, operational guidelines, and protection standards.
- Write and maintain database code, including queries, stored procedures, data access logic, and database modifications.
- Install, configure, manage, and support database environments used by manufacturing and support functions.
- Maintain database dictionaries, data relationships, and system integrations through effective database design.
- Support database standards, naming conventions, governance practices, and development guidelines.
- Monitor service requests and problem tickets, working directly with customers to resolve database and application issues.
- Perform data analytics and create dashboards using tools such as Qlik Sense to visualize manufacturing performance.
- Analyze manufacturing metrics to identify top bottleneck areas, downtime drivers, throughput constraints, and performance gaps.
- Work with ICT to migrate server data, normalize datasets, and build algorithms to ingest information from multiple sources.
- Develop user interfaces and applications to collect, display, and manage information across the organization.
- Support cross-functional teams including Maintenance, Quality, Operations, Engineering, ICT, and plant leadership.
Detailed Programming Language and Technology Requirements
- SQL: Advanced knowledge required to design and optimize complex queries, stored procedures, triggers, data structures, reporting tables, and high-volume manufacturing databases. SQL is critical for data integrity, performance, historical analysis, and standard reporting.
- Python: Required for data automation, ETL scripting, data validation, analytics, API integration, and future machine learning or predictive analytics use cases. Python supports scalable data processing and reduces manual reporting effort.
- C# / .NET / ASP.NET: Required to develop enterprise applications, web-based tools, backend services, and user interfaces that connect databases with plant systems, dashboards, and data collection processes.
- VBA: Required to support legacy Excel-based tools, automate repetitive reporting tasks, and bridge current plant-level processes with future database-driven solutions.
- Qlik Sense: Required to build dashboards, data models, visualizations, and leadership reporting tools for KPIs such as OPE, downtime, bottlenecks, and production performance.
- HTML / CSS / JavaScript: Required to create browser-based interfaces for data entry, validation, reporting, and user interaction across plant and corporate teams.
- C++ / Java / VB.NET: Required or strongly preferred to support legacy applications, vendor systems, object-oriented programming needs, and integration with existing manufacturing platforms.
Knowledge and Skills Required
- Strong knowledge of database design, data architecture, data structures, and database administration practices.
- Experience developing and reporting large, complex databases with high data accuracy and performance requirements.
- Advanced data analysis, validation, normalization, and processing skills.
- Ability to translate manufacturing needs into technical solutions, dashboards, applications, and automated reporting tools.
- Understanding manufacturing KPIs, plant performance metrics, downtime analysis, bottleneck identification, and throughput improvement.
- Ability to integrate data from multiple systems and create a reliable single source of truth.
- Knowledge of data analytics, machine learning, and data science concepts to support future digital transformation initiatives.
- Strong communication and coordination skills with ability to interface with hourly employees, engineers, plant leadership, ICT, and senior leadership.
- Ability to manage multiple priorities, work under strict timelines, and support urgent plant operational needs.
Key Must Have’s:
- Bachelor’s degree in Computer Science or Master’s degree in Computer Science or related field preferred.
- 3-5 years of professional experience in Manufacturing Database Development.
- Experience with MS Office and Google Workspace tools.
- Experience with SQL, Python, ASP.NET, VBA, Qlik Sense, HTML, and CSS.
- Experience developing, maintaining, and reporting from large and complex databases.
- Manufacturing experience preferred.
- Knowledge of analytics, machine learning, and data science preferred.
Job Title: Senior Database Developer
Location: Auburn Hills, MI
The position bridges the gap between ICT and plant execution by understanding both technical system requirements and manufacturing operational needs.
Summary of Duties, Responsibilities, and Knowledge Required
The Database Developer is required to support the planning, design, development, implementation, and continuous improvement of manufacturing data systems. This position enables standardized reporting, advanced analytics, digital tools, and user interfaces needed to improve plant performance, identify bottlenecks, and support operational decision-making across the organization.
Summary of Duties and Responsibilities
- Plan, design, develop, and implement company databases for reporting, analytics, and operational decision support.
- Modify existing databases and develop new database solutions from concept through deployment.
- Define data structures, database requirements, documentation, operational guidelines, and protection standards.
- Write and maintain database code, including queries, stored procedures, data access logic, and database modifications.
- Install, configure, manage, and support database environments used by manufacturing and support functions.
- Maintain database dictionaries, data relationships, and system integrations through effective database design.
- Support database standards, naming conventions, governance practices, and development guidelines.
- Monitor service requests and problem tickets, working directly with customers to resolve database and application issues.
- Perform data analytics and create dashboards using tools such as Qlik Sense to visualize manufacturing performance.
- Analyze manufacturing metrics to identify top bottleneck areas, downtime drivers, throughput constraints, and performance gaps.
- Work with ICT to migrate server data, normalize datasets, and build algorithms to ingest information from multiple sources.
- Develop user interfaces and applications to collect, display, and manage information across the organization.
- Support cross-functional teams including Maintenance, Quality, Operations, Engineering, ICT, and plant leadership.
Detailed Programming Language and Technology Requirements
- SQL: Advanced knowledge required to design and optimize complex queries, stored procedures, triggers, data structures, reporting tables, and high-volume manufacturing databases. SQL is critical for data integrity, performance, historical analysis, and standard reporting.
- Python: Required for data automation, ETL scripting, data validation, analytics, API integration, and future machine learning or predictive analytics use cases. Python supports scalable data processing and reduces manual reporting effort.
- C# / .NET / ASP.NET: Required to develop enterprise applications, web-based tools, backend services, and user interfaces that connect databases with plant systems, dashboards, and data collection processes.
- VBA: Required to support legacy Excel-based tools, automate repetitive reporting tasks, and bridge current plant-level processes with future database-driven solutions.
- Qlik Sense: Required to build dashboards, data models, visualizations, and leadership reporting tools for KPIs such as OPE, downtime, bottlenecks, and production performance.
- HTML / CSS / JavaScript: Required to create browser-based interfaces for data entry, validation, reporting, and user interaction across plant and corporate teams.
- C++ / Java / VB.NET: Required or strongly preferred to support legacy applications, vendor systems, object-oriented programming needs, and integration with existing manufacturing platforms.
Knowledge and Skills Required
- Strong knowledge of database design, data architecture, data structures, and database administration practices.
- Experience developing and reporting large, complex databases with high data accuracy and performance requirements.
- Advanced data analysis, validation, normalization, and processing skills.
- Ability to translate manufacturing needs into technical solutions, dashboards, applications, and automated reporting tools.
- Understanding manufacturing KPIs, plant performance metrics, downtime analysis, bottleneck identification, and throughput improvement.
- Ability to integrate data from multiple systems and create a reliable single source of truth.
- Knowledge of data analytics, machine learning, and data science concepts to support future digital transformation initiatives.
- Strong communication and coordination skills with ability to interface with hourly employees, engineers, plant leadership, ICT, and senior leadership.
- Ability to manage multiple priorities, work under strict timelines, and support urgent plant operational needs.
Key Must Have’s:
- Bachelor’s degree in Computer Science or Master’s degree in Computer Science or related field preferred.
- 3-5 years of professional experience in Manufacturing Database Development.
- Experience with MS Office and Google Workspace tools.
- Experience with SQL, Python, ASP.NET, VBA, Qlik Sense, HTML, and CSS.
- Experience developing, maintaining, and reporting from large and complex databases.
- Manufacturing experience preferred.
- Knowledge of analytics, machine learning, and data science preferred.
See all 47+ STEM OPT Database Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Database Architect Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in Database Architect
Verify your CIP code before applying
Cross-check your degree's CIP code against the DHS STEM Designated Degree Program List before you target Database Architect roles. Computer Science (11.0701) and Information Systems (11.0401) both qualify, but some adjacent degrees don't, and a mismatch voids your extension.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether the company is enrolled in E-Verify before your final interview round. You can also search the E-Verify employer database by company name to confirm enrollment status, since STEM OPT authorization depends entirely on it.
Frame your I-983 training plan around schema design
When your employer completes the I-983, the learning objectives section should map to specific Database Architect competencies: data modeling, performance tuning, and migration architecture. Vague entries like 'database work' invite DSO pushback and delay your extension approval.
Target companies with active LCA filings for database roles
Use Migrate Mate to filter employers by DOL Labor Condition Application filings for database and data engineering occupations. Companies with recent LCA activity for these roles already understand E-Verify requirements and STEM OPT onboarding, which reduces friction during the offer process.
Check prevailing wage tiers before negotiating offers
Look up the wage level for Database Architects in your target metro using the OFLC Wage Search before salary discussions. Employers filing an LCA must meet the prevailing wage, so knowing Level I through Level IV ranges tells you where an offer stands relative to compliance minimums.
Use cap-gap protection if your OPT expires during H-1B selection
If an employer files an H-1B visa petition before your STEM OPT end date and you're selected in the lottery, cap-gap protection extends your work authorization through September 30. Confirm with USCIS guidance that your I-20 reflects the cap-gap period before your OPT card expires.
Frequently Asked Questions
Does a Database Architect role qualify for the STEM OPT extension?
Yes, if your degree carries an eligible CIP code. Computer Science, Information Systems, Computer Engineering, and related STEM fields listed on the DHS STEM Designated Degree Program List all support a STEM OPT extension for Database Architect positions. The role itself must also align with your degree field on the I-983 training plan, which your DSO reviews before approving the extension request.
What does the I-983 training plan need to include for a Database Architect position?
The I-983 must document specific learning objectives tied to your role, your employer's mentorship structure, and how the position connects to your STEM degree. For Database Architects, objectives should reference concrete skills like relational and NoSQL schema design, query optimization, disaster recovery architecture, or cloud database migration. Generic language fails DSO review. Your employer signs the form and must provide a named supervisor responsible for the training.
How do I confirm my employer is enrolled in E-Verify before my start date?
Search the E-Verify employer search tool by company name to check enrollment status. You can also ask your recruiter or HR contact directly, since STEM OPT regulations require E-Verify participation before your extension is valid. If a company isn't enrolled, your DSO can't approve the I-983 and your 24-month extension won't begin. Some large enterprises enroll by subsidiary, so confirm the specific legal entity that will employ you.
What happens to my STEM OPT authorization if my employer changes ownership or name?
A change in the employing legal entity, including acquisitions, mergers, or subsidiary restructuring, can affect your STEM OPT status if the new entity isn't enrolled in E-Verify. You'd need a new or amended I-983 reflecting the updated employer information, signed by an authorized representative of the new entity. Notify your DSO as soon as a corporate change is announced so your authorization doesn't lapse during the transition.
Where can I find Database Architect jobs where employers are already set up for STEM OPT?
Migrate Mate filters Database Architect listings by employers with documented E-Verify enrollment and LCA filing history for technical roles. That filing history signals the employer has already navigated STEM OPT or H-1B onboarding before, which means they're less likely to withdraw an offer once they learn about the I-983 requirement or 60-day reporting obligations under STEM OPT regulations.