AI Developer / AI-Assisted Data Engineer / Data Modernization Engineer
SIRITECH SOLUTIONS CORP · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Modernize data assets using AI in Microsoft Fabric.
- Develop automated tools and data pipelines.
- Migrate from Oracle to a scalable data platform.
- Implement data governance and reusable data products.
- Collaborate on enterprise-wide data initiatives.
About the role
AI Developer / AI-Assisted Data Engineer / Data Modernization Engineer
SIRITECH SOLUTIONS CORP is seeking an experienced AI Developer / AI-Assisted Data Engineer / Data Modernization Engineer to support a large-scale pilot data modernization initiative. This role leverages AI-assisted development methodologies to transform decentralized campus reporting assets into governed, reusable enterprise data products within Microsoft Fabric. The position combines data engineering, automation, artificial intelligence, and cloud modernization practices to accelerate migration from legacy Oracle-dependent environments to a scalable modern data platform.
Key Responsibilities
- Develop automated scanning and discovery tools for Access, Excel, Power BI, SQL Server, and other reporting assets.
- Identify Oracle database dependencies, reporting usage patterns, and data source relationships.
- Capture, organize, and structure metadata to support AI-driven migration analysis and prioritization.
- Design and implement Bronze, Silver, and Gold data layers within Microsoft Fabric.
- Build scalable data pipelines, ingestion frameworks, and transformation processes.
- Develop reusable enterprise data products aligned with modern data platform standards.
- Utilize AI-assisted development tools to generate code, automate metadata analysis, and accelerate migration activities.
- Refactor legacy reporting assets and data models for Fabric-based architectures.
- Update data connections, queries, and reporting models using AI-generated development approaches.
- Design hybrid modernization solutions supporting Access front-end and SQL-based backend architectures.
- Establish repeatable AI-assisted development workflows and migration methodologies.
- Perform reconciliation and validation between Oracle REPL environments and Fabric outputs.
- Validate data quality, accuracy, completeness, consistency, and performance.
- Develop migration frameworks that can scale across multiple institutions and environments.
- Support pilot campus modernization initiatives and future enterprise-wide implementations.
Additional Responsibilities
- Document automation tools, scripts, frameworks, and development methodologies.
- Create repeatable migration playbooks and implementation standards.
- Contribute to training materials and knowledge transfer activities.
- Support onboarding efforts for technical teams adopting modernization frameworks.
- Collaborate with architects, engineers, analysts, and campus technology teams.
Required Skills
- 10+ years of enterprise data engineering, analytics, or data architecture experience.
- 5+ years of advanced SQL development experience.
- 5+ years of advanced Python programming experience.
- 5+ years of ETL/ELT development and data modeling experience.
- 3+ years of AI-assisted software development experience using tools such as GitHub Copilot or equivalent.
- 3+ years of hands-on PySpark development experience.
- 3+ years of experience building and optimizing large-scale transformations in Microsoft Fabric Lakehouse environments.
- Strong experience with Microsoft Fabric and modern cloud data platforms.
- Experience modernizing legacy reporting and analytics environments.
- Expertise in metadata-driven development and data governance practices.
- Strong understanding of enterprise-scale data architecture principles.
Preferred Skills
- Experience with higher education data environments.
- Experience with Oracle database platforms and migrations.
- Experience with Power BI enterprise reporting solutions.
- Knowledge of data governance, data cataloging, and metadata management.
- Experience implementing reusable enterprise data products.
Qualifications
- Proven success delivering enterprise data modernization initiatives.
- Strong analytical, automation, and problem-solving capabilities.
- Ability to work collaboratively across technical and business teams.
- Experience designing scalable, reusable cloud-native data solutions.
- Strong communication and documentation skills.
Education
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, or related field. Master's degree preferred.
Certifications
Microsoft Fabric Certification (Preferred), Microsoft Azure Data Engineer Associate (Preferred), Microsoft Azure Solutions Architect (Preferred), Databricks or Spark Certifications (Preferred)
Expected Outcomes
- Automated CAP inventory and discovery framework.
- Usage-based migration prioritization process.
- AI-assisted development of reusable Fabric data products.
- Successful modernization and migration of pilot campus assets.
- Repeatable framework for enterprise-wide deployment across institutions.
Reporting & Collaboration
Reports To: System Director, Architecture and Enablement. Collaborates With: Campus IT Teams, Enterprise Data Team, Data Architects, Data Engineers, Business Stakeholders, Modernization Program Teams.
Key skills/competency
- AI-Assisted Development
- Data Engineering
- Microsoft Fabric
- Python
- SQL
- ETL/ELT
- Data Modeling
- Cloud Modernization
- Data Governance
- PySpark
Skills & topics
- AI Developer
- AI-Assisted Data Engineer
- Data Modernization Engineer
- Microsoft Fabric
- Data Engineering
- Python
- SQL
- ETL
- Cloud Modernization
- AI
- Data Governance
- PySpark
- Oracle Migration
- Azure
- Data Architecture
- Automation
- Reporting
How to get hired
- Tailor your resume: Highlight 10+ years of enterprise data engineering, 5+ years in SQL/Python, and 3+ years in AI-assisted development.
- Showcase relevant experience: Emphasize Microsoft Fabric, ETL/ELT, data modeling, and legacy modernization projects.
- Quantify achievements: Use numbers to demonstrate success in data modernization and AI-driven automation.
- Prepare for technical interviews: Be ready to discuss PySpark, Azure, data architecture principles, and problem-solving scenarios.
- Highlight collaboration skills: Showcase your ability to work with diverse technical and business teams.
Technical preparation
Master advanced SQL and Python for data manipulation.,Practice PySpark for large-scale data transformations.,Build projects using Microsoft Fabric Lakehouse.,Experiment with AI coding assistants like Copilot.
Behavioral questions
Describe a complex data modernization project.,How do you handle data quality issues?,Tell me about collaborating with diverse teams.,How do you stay updated on AI development tools?
Frequently asked questions
- What is the primary focus of the AI-Assisted Data Engineer role at SIRITECH SOLUTIONS CORP?
- The primary focus is to leverage AI-assisted development methodologies to modernize decentralized campus reporting assets into reusable enterprise data products within Microsoft Fabric, migrating from legacy Oracle environments.
- What specific AI-assisted development tools are mentioned for this Data Modernization Engineer position?
- The job description specifically mentions tools like GitHub Copilot or equivalent for AI-assisted software development, indicating a focus on modern AI coding assistants.
- How much experience is required for the AI Developer role at SIRITECH SOLUTIONS CORP?
- A total of 10+ years of experience is required, with specific emphasis on enterprise data engineering, advanced SQL and Python, ETL/ELT, AI-assisted development, PySpark, and Microsoft Fabric.
- What are the key data platforms and technologies involved in this role?
- Key technologies include Microsoft Fabric (Lakehouse), Oracle databases, SQL Server, Access, Excel, Power BI, Python, PySpark, and ETL/ELT processes.
- What is the expected outcome of the data modernization initiative?
- Expected outcomes include an automated CAP inventory and discovery framework, AI-assisted development of reusable Fabric data products, successful modernization of pilot campus assets, and a repeatable framework for enterprise-wide deployment.
- Does SIRITECH SOLUTIONS CORP prefer a Master's degree for the Data Modernization Engineer role?
- While a Bachelor's degree in a relevant field is required, a Master's degree is preferred for this position.
- What kind of collaboration is expected for the AI-Assisted Data Engineer?
- Collaboration is expected with System Director, Architecture and Enablement, Campus IT Teams, Enterprise Data Team, Data Architects, Data Engineers, Business Stakeholders, and Modernization Program Teams.
- Are there specific Microsoft certifications that are preferred for this role?
- Yes, Microsoft Fabric Certification, Microsoft Azure Data Engineer Associate, and Microsoft Azure Solutions Architect certifications are preferred.