Description

• Design and maintain enterprise data warehouses, operational data stores, and data lake solutions across cloud and on-prem environments
• Build ETL/ELT pipelines and reusable integration components using Oracle Cloud and SQL Server tools
• Integrate enterprise systems (ERP, HCM, SIS, CRM) using REST/SOAP APIs, SFTP, and event-driven patterns
• Support BI and analytics initiatives, developing curated datasets and semantic models
• Optimize database performance, partitioning, and query tuning for large-scale datasets
• Provide technical leadership and mentorship to junior developers and analysts

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field (equivalent experience considered)
• 8+ years of progressively responsible experience in data engineering, enterprise data warehousing, or ETL development
• Hands-on experience with Oracle Database/PL-SQL or SQL Server/T-SQL
• Experience with at least one of: Oracle Integration Cloud (OIC), SnapLogic, or SQL Server Integration Services (SSIS) — OIC and SSIS experience is ideal
• Experience designing and supporting enterprise data warehouses, operational data stores, or cloud-based analytics platforms
• Ability to independently architect a data solution and explain the reasoning behind design decisions

Preferred Qualifications

• Experience with Power BI or Oracle Analytics Cloud (OAC)
• Experience with Ellucian Colleague, Banner, or similar higher-ed SIS platforms (nice-to-have, not required)
• Higher education, healthcare, or other regulated public-sector data experience
• Familiarity with FERPA, HIPAA, or Texas Administrative Code (TAC 202) data standards

Key Skills

Education

Bachelor's degree