SIRITECH SOLUTIONS CORP is seeking an experienced AI Developer / AI-Assisted Data Engineer to support a large-scale enterprise data modernization initiative. The role involves transforming decentralized reporting assets into scalable enterprise data products using AI-assisted development and Microsoft Fabric technologies, requiring collaboration with various stakeholders to establish modernization frameworks.
Responsibilities:
- Develop automated scanning and inventory tools for Access, Excel, Power BI, SQL Server, and Oracle-based CAP environments
- Identify Oracle dependencies, reporting assets, data sources, and usage patterns across pilot campus environments
- Capture, structure, and analyze metadata to support AI-driven prioritization of data modernization initiatives
- Design and develop Bronze, Silver, and Gold data layers within Microsoft Fabric lakehouse environments
- Build scalable ETL/ELT pipelines, transformations, and reusable enterprise data products in Microsoft Fabric
- Utilize AI-assisted development tools to automate code generation, metadata analysis, modernization workflows, and migration activities
- Refactor legacy CAP assets into Fabric-based data solutions using AI-generated code and automation techniques
- Develop hybrid modernization strategies involving Access front-end and SQL backend integrations
- Build repeatable AI-assisted modernization workflows and migration playbooks
- Perform validation, reconciliation, and testing between Oracle REPL environments and Fabric outputs
- Ensure data quality, performance, completeness, and scalability across migrated solutions
- Document technical processes, scripts, methodologies, and onboarding materials
- Support knowledge transfer, training, and operational readiness activities
- Collaborate with campus IT teams, data architects, and engineering stakeholders
- Assist with enterprise data governance and reusable data product initiatives
- Optimize large-scale data transformations for performance and scalability
- Support implementation of enterprise modernization frameworks across multiple institutions
- Recommend ingestion strategies and identify enterprise data gaps
- Contribute to long-term data modernization roadmaps and automation standards
Requirements:
- 10+ years of experience in enterprise data engineering, analytics, or data architecture
- 5+ years of advanced SQL development experience
- 5+ years of advanced Python programming experience
- Strong ETL/ELT and enterprise data modeling expertise
- 3+ years of extensive experience with AI-assisted development tools such as Microsoft Copilot
- 3+ years of extensive 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-based data platforms
- Experience modernizing legacy enterprise reporting and analytics systems
- Knowledge of metadata discovery, governance, and enterprise data product development
- Strong analytical, automation, troubleshooting, and communication skills
- Experience with Power BI, SQL Server, Oracle, Access, and enterprise reporting systems
- Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field
- Microsoft Fabric certification
- Azure Data Engineering certifications
- AI/ML or cloud platform certifications
- Experience with enterprise-scale modernization and governance initiatives