Sr Engineer Enterprise Data Intelligence

Sr Engineer Enterprise Data Intelligence The Sr Engineer Enterprise Data Intelligence builds and manages data pipelines, transformations, and analytics infrastructure that support Houston ISD's enterprise reporting needs. Focusing on operational data from Oracle Fusion, SAP, and related platforms, this role ensures timely, accurate, and secure access to financial, HR, and procurement data across the district. The Senior Engineer is responsible for implementing enterprise reporting structures in Microsoft Fabric and Power BI, supporting both real-time dashboards and historical analysis.

Responsibilities

Design, implement, and maintain robust data pipelines for enterprise systems.

Work with Oracle Fusion, SAP, and other data sources to extract, transform, and load data into reporting structures.

Collaborate with analysts and business stakeholders to define datasets, KPIs, and delivery schedules.

Optimize performance and reliability of reporting datasets and visualizations.

Implement best practices in data engineering, version control, and change management.

Monitor data refreshes, investigate failures, and ensure timely resolution.

Apply security and privacy rules for user-level data access across Power BI and Fabric workspaces.

Support ad hoc data requests, rapid prototyping, and iterative development.

Document workflows, mappings, data structures, and lineage for support and audit readiness.

Other duties as assigned.

Skills

Bachelor's degree in computer science, information systems, or related technical field required. Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experiences that indicate potential for success in this role.

Minimum of 5 years in data engineering or business intelligence roles with enterprise data sources. Experience with Power BI and Microsoft Fabric required. Oracle or SAP experience strongly preferred.

Strong SQL and data wrangling skills. Experience with ETL/ELT tools (e.g., Azure Data Factory, Synapse Pipelines). Power BI development and publishing experience. Understanding of ERP data schemas and financial/HR structures. Certifications in Microsoft data stack or Power BI preferred. Strong attention to detail and troubleshooting skills.