Data Engineer

Focus: Microsoft Fabric ETL and Enterprise Data Warehouse
Location: Woodbury NY 11797 or Calhoun GA 30701
Reports To: Senior IT Leadership

The Senior Data Engineer owns the design implementation and evolution of Companys enterprise data platform. This role is accountable for ETL pipelines data warehouse and Lakehouse architecture and enterprise data modeling as Company transitions from an on-premises SQL environment to a modern cloud-based analytics platform.
Company is in the process of establishing Microsoft Fabric as the future-state data platform. The Senior Data Engineer will define standards shape architecture and lead the transition from existing on-premises SQL stored procedures to a scalable governed analytics environment.

This role is critical as Company modernizes its enterprise analytics capabilities replacing legacy on-premise SQL workflows with a scalable governed cloud platform that will support future growth advanced analytics and self-service BI

• End-to-end ownership of data pipelines models and analytics architecture - from design through production support
• Acts as the technical decision-maker for data platform standards and patterns
• Comfortable operating in environments with evolving requirements and incomplete data
• Ability to translate available data from pipelines into value-added analytics to the businesss benefit
• Expected to proactively identify business solutions data gaps quality issues and architectural improvements
• Design and implement the Microsoft Fabric Lakehouse and data warehouse and lead the transition from on-premises SQL-based solutions
• Develop and maintain ETL and ELT pipelines using Fabric Data Factory SQL and notebooks
• Ability to define and establish the semantic layer to enable servicing data to business resources for self service visualizations
• Apply scripting or notebook-based approaches including Python/R/etc. where appropriate for data transformation automation and data quality enforcement
• Integrate data from AS400 ERP Salesforce HubSpot and other SaaS platforms
• Design analytical data models fact and dimension tables and curated data marts
• Implement CI/CD practices for data pipelines and analytics assets enabling agile reliable and controlled production deployments
• Operate in an Agile delivery environment
• Optimize platform performance scalability reliability and cost
• Support and stabilize existing datasets and dashboards
• Drive Power BI adoption and define migration approach for legacy tools and standards
• Design and implement data quality checks monitoring alerting recovery mechanisms and governance controls
• Maintain documentation for pipelines models and integration patterns
• Partner with IT and business stakeholders to translate requirements into data solutions

• Bachelors degree in Computer Science Information Systems or equivalent experience
• 5 years of experience in data engineering including enterprise data warehouse and analytics platforms
• Advanced SQL skills with strong analytical and enterprise data modeling experience
• Experience designing and operating data warehouses lakes or Lakehouse architectures in a cloud environment
• Experience integrating ERP systems CRM and SaaS data sources
• Experience supporting BI tools including Tableau (phasing out) and Power BI
• Strong communication skills with technical and business teams

• Azure Synapse Data Factory or Databricks
• Salesforce and HubSpot data models and APIs
• Data governance quality frameworks and access controls