Required Technical Skills:

• Assess current data architecture, platforms, and data flows
• Design target-state data architecture (e.g., cloud, hybrid, or on-prem)
• Define data models, integration patterns, and governance frameworks
• Recommend tools, technologies, and best practices
• Conduct interviews with data owners/ data custodians in various departments, including Engineering, Public Safety, Data Analytics, Operations, and Technology teams
• Provide implementation roadmap and technical documentation

Deliverables

• Current-state and target-state AI-ready (BI/ ML) architecture diagrams
• Data architecture standards and design principles
• Technology and tooling recommendations
• Implementation roadmap with milestones. Final architecture documentation and knowledge transfer
• Project will commence approximately April 1, 2026, and it is anticipated that a final report will be issued on July 1, 2026

Resource Qualifications

• Proven experience as a Technology/Data Architect with specific expertise in ETL
• Expertise in modern data platforms (e.g., cloud, data lakes, data warehouses)
• Experience with data governance, security, and compliance
• Strong communication and stakeholder engagement skills
• Relevant certifications or case studies (preferred).