AI Developer / AI-Assisted Data Engineer / Data Modernization Engineer

SIRITECH SOLUTIONS CORP is seeking an AI Developer / AI-Assisted Data Engineer / Data Modernization Engineer to support a large-scale pilot data modernization initiative. This role involves leveraging AI-assisted development methodologies to transform decentralized reporting assets into governed enterprise data products, while also focusing on data engineering and cloud modernization practices.

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
• 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

Requirements:

• 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
• 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
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, or related field
• 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
• Master's degree preferred
• Microsoft Fabric Certification (Preferred)
• Microsoft Azure Data Engineer Associate (Preferred)
• Microsoft Azure Solutions Architect (Preferred)
• Databricks or Spark Certifications (Preferred)