Chief Data Architect
15 hours ago
The Chicago Public Schools (CPS) is seeking an experienced Data Architect to lead the design and implementation of its data architecture. As a critical member of the Office of Information and Technology Services (ITS), this role will be responsible for ensuring the district's data is organized, accessible, secure, and meets the needs of business units.
This position requires a strong technical background in database system architecture and design, with experience in data warehousing, data modeling, and data analysis. The ideal candidate will have expertise in BI and data warehousing principles, including data modeling, data quality, extract/transform/load process as they apply to data preparation for BI/Analytic solutions.
The estimated salary for this position is around $120,000 per year, depending on qualifications and experience. If you are passionate about using technology to improve education and have the skills to drive innovation, we encourage you to apply.
Responsibilities
- Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms
- Create standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment
- Oversee the expansion of existing data architecture and data query performance optimization
- Assist with identifying future state architecture (data fabric, active metadata, Data Lake, Data Lakehouse)
- Perform current state data model assessments/target data models and gap analysis
- Propose new database architecture and support data migration from an existing Legacy system to a new structure
- Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations
- Maintain and create extensions to ODS
- Assist in designing the data warehouse and ensure that data is stored and maintained in consistent formats
- Counsel with Analysts and Subject Matter Experts on specific topics in order to accurately capture existing business rules/principles
- Establish data modeling naming standards, abbreviations, guidelines, and best practices
- Develop and maintain conceptual, physical, and logical data models
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