DataEngineer

Summary/Objective Reporting to the IT Manager, Data & Analytics, the Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, data platforms, and data warehouse/data lakehouse architectures that support enterprise analytics, reporting, automation, and AI-enabled solutions. This role ensures that data is accurate, reliable, well-governed, secure, and optimized for consumption across Microsoft Fabric, Power BI, generative AI, AI agents, and future technologies. The Data Engineer will enable trusted, AI-ready data foundations and support client- and vendor-facing technology solutions that are critical to business operations, growth, and service delivery. Essential Functions 1. Design, build, and maintain robust ETL/ELT data pipelines to ingest, process, and integrate data from multiple source systems (e.g., CRM platforms, APIs, and external data sources) into Azure and Microsoft Fabric. 2. Develop and manage the enterprise data platform, including lakehouse architecture (bronze, silver, gold layers), ensuring data is structured, scalable, and optimized for analytics. 3. Ensure the quality, integrity, and consistency of data through validation processes, monitoring, and proactive issue resolution. 4. Optimize performance and scalability of data workflows, pipelines, and storage to support efficient data processing and reporting. 5. Implement and enforce data governance, security, and compliance standards, including data lineage, access controls, and regulatory requirements. 6. Enable AI-ready and agentic enterprise capabilities by preparing governed datasets, metadata, lineage, and integration patterns that allow AI agents, automation, and decision-support tools to operate safely and effectively. 7. Support the design, delivery, and ongoing operation of client- and vendor-facing data integrations, reporting assets, APIs, and platform services that require reliable, secure, and scalable data engineering practices. Responsibilities &