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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Architect - **Company:** The University of Chicago - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $150,000 - $156,600 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Application Integration Architecture, Business Intelligence Development, Big Data, Cyber Security, Information Systems, Data Architecture, Data Governance, Data Integration, Data Warehousing, Apache Hadoop, Meta-Data Management, Metadata Repositories, Oracle Data Service Integrator, Oracle Databases, Cloud Services, Student Information Systems, Systems Integration, Privacy Controls, Enterprise Software Applications, Data Layers, Information Technology, Data Management, Model Context Protocol - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d83478b0d8dfe31c ## About the Role Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline., * Bachelor's degree in computer science, information systems, data science, or a related field. * Master's degree a plus. Experience: * A track record of leading data architecture, not only contributing to it by setting the standards, patterns, and roadmap that other engineers build to. * Designing and leading enterprise data architecture in a complex organization, ideally higher education or another federated environment. Technical Skills or Knowledge: * Hands-on experience with data warehouse and data integration platforms such as Oracle databases, Oracle Data Integrator, and Hadoop-based platforms, which make up today's estate. * Modern cloud data platforms and lakehouse patterns, including migrating workloads from an on-premises estate. * Governing cloud data platforms: workspace design, capacity planning, access models, and cost management. * Data modeling for analytics: relational, dimensional, and semantic layers. * Metadata management, data catalogs, and data quality frameworks. * Integrating data from enterprise systems such as ERP, human capital, student information, and CRM platforms. * Enabling AI on enterprise data: semantic layers, governed access patterns, and emerging standards such as the Model Context Protocol. Preferred Competencies * Systems thinking, seeing the whole estate and how a change in one place lands in another. * Clear communicator who explains architecture to non-technical leaders and writes it down. * Leads through partnership and influence across teams that own the hosting, access, and source systems. * Sound judgment on build, buy, and retire, with cost and risk in view. * Coaches others and builds capability across the team. * Comfortable with ambiguity and a changing environment. ## Description The Lead Data Architect sets the architecture for how the University's administrative data is sourced, modeled, integrated, governed, and delivered, from today's warehouse estate to a modern platform ready for analytics and AI. This role owns the target architecture, the standards and patterns the team builds to, and the roadmap that moves us there; and it leads the technical design of the team's highest-impact work. It partners closely with infrastructure, information security, privacy, and enterprise application colleagues, who own the hosting, access, and source systems the architecture depends on. While the team moves to its target operating model, the role also owns the health, upgrade, and support roadmap for the current data platforms, working with the colleagues who administer them day to day., * Defines and maintains the current-state and target-state data architecture for University administrative data, and the multi-year roadmap between them. * Sets architecture standards and reference patterns; designs principles for data modeling, integration, pipelines, and data products, and reviews designs against them. * Leads platform modernization options with the team and IT Services partners, building the technical case, cost, risk, and sequencing for each. * Leads proofs of concept to test platform and architecture options before the team commits. * Designs for AI readiness, including governed metadata, a shared semantic layer, and clear data contracts, so analytics and AI tools reach governed data safely. * Leads the design of enterprise data models, logical, physical, and dimensional, and the integration architecture across source systems. * Owns the technical architecture for master data for identity, so one person resolves consistently across student, employee, alumni, and affiliate records. * Builds data quality checks, lineage, and auditability into pipelines by design rather than adding them afterward. * Designs classification, access, and privacy controls into the architecture, in partnership with Information Security and the Privacy Office. * Supports the data governance program with the technical side of definitions, the data catalog, and stewardship tooling. * Serves as technical lead on the team's highest-priority initiatives, working with data engineers, BI developers, and analytics and AI engineers. * Partners with the Chief Technology Officer's infrastructure teams on hosting, operations, and capacity, and with enterprise application teams on source-system integration. * Explains architecture choices in plain language to leaders and partner units, and writes the decision records behind them. * Owns the roadmap for upgrades, version currency, and vendor support of the current data warehouse, data integration, big data, and cloud data platforms, setting direction and priorities while the colleagues and partners who administer them handle day-to-day operations, and steps in hands-on when the team needs it during the transition. * Coordinates architecture-affecting changes through IT Services change management. * Mentors data engineers and developers, raises engineering practice across the team, and grows architecture skills so the team never depends on one person. * Leads the development of Business Intelligence (BI) and other analytical applications. Works to achieve an integrated reporting and analysis environment, effectively leveraging analytical systems and tools. * Provides expertise in planning, testing, and roll-out of patches and upgrades to the BI and analytic software. Solves complex problems in the development and interpretation of BI and analytics system standards and procedures. * Performs other related work as needed.