About this role
SUMMARY: Evaluate, research, analyze, develop, and serve as a business decision maker to determine computer system requirements that will provide solutions for Cypress-Fairbanks Student Information System (SIS) including, but not limited to Texas Education Agency's (TEA) Public Information Education Management Systems (PEIMS), eFinance systems, BI solutions, AI-powered analytics, PowerSchool, and any other systems that are supported by Cypress-Fairbanks ISD. QUALIFICATIONS: Education/Degree(s):
• Preferred bachelor's degree from an accredited college or university required, or minimum of seven (7) years' experience with SIS (PowerSchool, eSchoolPLUS).
• Preferred minimum of five (5) years' experience with Texas K-12 business processes and best practices.?
• Preferred minimum of three (3) years of experience designing, building, maintaining, and supporting cloud-based data lake and analytics environments, including Microsoft Fabric or comparable enterprise cloud data platforms.
Special Knowledge/Skills:
• Advanced knowledge of enterprise data architecture, analytics, and business intelligence platforms.
• Advanced SQL and database management experience.
• Experience designing and supporting enterprise data warehouses and data lakes.
• Hands-on experience designing, building, maintaining, monitoring, and supporting Microsoft Fabric environments for enterprise data lake, analytics, and business intelligence solutions.
• Experience with Microsoft Fabric components, including OneLake, Lakehouse, Data Factory, Data Engineering, Data Warehouse, Power BI, and data pipelines.
• Knowledge of Microsoft Fabric administration, security, workspace management, capacity planning, performance monitoring, governance, and lifecycle management.
• Experience with Business Intelligence platforms such as Power BI, Tableau, Cognos, or similar technologies.
• Experience developing executive dashboards, scorecards, and self-service reporting solutions.
• Knowledge of data governance frameworks, data quality management, and master data management principles.
• Experience designing and supporting ETL/ELT processes and enterprise data integrations.
• Experience leveraging AI-powered tools, predictive analytics, machine learning technologies, and automation solutions.
• Advanced knowledge of Microsoft Azure and Microsoft Fabric, including their integration with cloud storage, data engineering, analytics, governance, security, and business intelligence services.
• Ability to analyze complex business processes and translate requirements into technical solutions.
• Ability to lead technical projects and mentor technical staff.
• Strong software troubleshooting and problem-solving skills.
TERMS OF EMPLOYMENT: 244 days SALARY: $90,097 - TA 8 Salary Range (based on experience) as set by the Board of Trustees for the school year MAJOR RESPONSIBILITIES AND DUTIES:
• Lead the design, development, implementation, and support of enterprise reporting, analytics, and business intelligence solutions.
• Develop and maintain district dashboards, scorecards, key performance indicators (KPIs), and executive reporting tools.
• Collaborate with district leadership to identify strategic reporting, analytics, and data visualization needs.
• Lead efforts to integrate data from multiple enterprise systems including student, finance, human resources, assessment, transportation, and operational platforms.
• Design and maintain enterprise data warehouse and data lake solutions.
• Lead the architecture, development, implementation, maintenance, and operational support of the district's Microsoft Fabric environment and enterprise data lake analytics platform.
• Design and maintain Microsoft Fabric lakehouses, warehouses, data pipelines, semantic models, workspaces, and integrations that support districtwide analytics and reporting.
• Monitor platform performance, capacity, security, data availability, and system reliability; troubleshoot issues and coordinate resolution with internal teams and Microsoft support when necessary.
• Develop and support ETL/ELT processes that ensure timely, accurate, and secure movement of data across systems.
• Evaluate, pilot, and implement AI-powered technologies that improve operational efficiency, reporting, decision making, and customer service.
• Identify opportunities for automation and business process improvement through technology solutions.
• Establish and promote data governance standards, data quality practices, and reporting best practices.
• Serve as a technical advisor for district initiatives involving analytics, reporting, integrations, and data strategy.
• Lead cross-functional discovery sessions to gather business requirements and translate them into scalable technology solutions.
• Develop advanced reports, queries, visualizations, and predictive analytics models.
• Coordinate with software vendors and internal stakeholders to implement new functionality and integrations.
• Provide technical leadership and mentorship to Programmer Analyst I and II positions.
• Assist with strategic planning related to enterprise data, analytics, AI, and emerging technologies.
• Create and maintain technical documentation, data dictionaries, standards, and operational procedures.
• Manage assigned projects and ensure successful delivery of project milestones.
• Monitor emerging technologies and recommend innovative solutions that align with district goals.
• Provide excellent customer service.
• Perform other duties as assigned.
SUPERVISORY RESPONSIBILITIES: · None
MENTAL DEMANDS/PHYSICAL DEMANDS/ENVIRONMENTAL FACTORS:
· Tools/Equipment Used: Standard office equipment including personal computers and peripherals · Posture: Prolonged sitting; occasional bending/stooping, pushing/pulling, and twisting · Motion: Repetitive hand motions, frequent keyboarding, and use of mouse; occasional reaching · Lifting: Occasional light lifting and carrying (less than 15 pounds) · Environment: Frequent district-wide travel and occasional statewide travel; occasional prolonged and irregular hours · Work after-hours
The foregoing statements describe the general purpose and responsibilities assigned to this job and are not an exhaustive list of all responsibilities and duties that may be assigned or skills that may be required. All applications will be reviewed. Not all applicants will be interviewed. Hiring Managers may choose to email you regarding this application. Please monitor your email regularly for any communication.