Senior Data Architect

About the role

The University of Chicago Booth School of Business is a prestigious institution known for its rigorous business education and influential leaders. It offers a variety of programs and resources designed to prepare students for successful careers in business.

Responsibilities

• Develops, maintains, and executes the enterprise data architecture strategy and multi-year roadmap aligned with organizational goals, digital transformation initiatives, and business priorities.
• Learns and implements enterprise cloud data platforms utilizing Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Power BI, and related Azure technologies.
• Architects scalable data warehouse, lakehouse, data mesh, and data integration solutions supporting enterprise reporting, analytics, and artificial intelligence initiatives.
• Establishes and enforces enterprise standards, best practices, and governance policies for data architecture, data modeling, integration, metadata management, data lineage, security, and quality.
• Leads enterprise data modernization and migration efforts from legacy and on-premises platforms to cloud-native architectures and services.
• Pairs with executive leadership, business stakeholders, and technology teams to translate business requirements into scalable and sustainable enterprise data solutions.
• Collaborates with Enterprise Architecture, Security Architecture, and Application Development teams to ensure alignment with organizational technology standards and strategic objectives.
• Leads architecture reviews and provides governance oversight for enterprise data solutions, ensuring compliance with approved standards and architectural principles.
• Provides technical leadership, mentorship, and architectural guidance to data engineers, developers, analysts, AI engineers, and project teams.
• Evaluates emerging technologies and industry trends, recommending innovative solutions that enhance organizational data capabilities, AI readiness, performance, and cost efficiency.
• Develops and promotes data-as-a-product principles to improve accessibility, usability, and business adoption of enterprise data assets.
• Manages cloud cost optimization and FinOps strategies to balance performance, scalability, and operational expenditures.
• Safeguards compliance with data governance, privacy, security, regulatory, and institutional requirements while fostering a culture of data stewardship and accountability across the organization.
• Manages a team of developers, assigns work, coaches, and mentors.
• Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
• Leads or coordinates teams or projects for activities relating to software support and/or development.
• Performs other related work as needed.

Requirements

Minimum qualifications include a college or university degree in a related field and 7+ years of progressively responsible experience in enterprise data architecture, data engineering, data warehousing, enterprise data management, analytics platforms, and cloud data solutions.

Qualifications

Preferred qualifications include a master’s degree, Microsoft Certified Fabric Data Engineer certification, and extensive experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Power BI, OneLake, and related Azure data services.

Skills

• Proficient in designing, implementing, and leading enterprise cloud data platforms and modernization initiatives with Microsoft Azure environments.
• Expert-level knowledge of Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Power BI, OneLake, and related Azure data services.
• Strong proficiency in SQL, Python, Spark, ETL/ELT development, data engineering, DataOps, and cloud-native data architecture practices.
• Familiarity with enterprise integration architectures utilizing APIs, event-driven architectures, streaming technologies, and cloud-native integration services.
• Experience with enterprise data quality frameworks, validation methodologies, testing strategies, reconciliation processes, and data observability practices.
• Proven experience leading enterprise-scale cloud migration, modernization, and digital transformation initiatives.
• Deep understanding of data, metadata management, data lineage, data quality, security, privacy, and compliance frameworks.
• Seasoned professional at implementing and supporting artificial intelligence, advanced analytics, and generative AI platforms through scalable data architecture design.
• Proficiency in Azure DevOps, GitHub, CI/CD pipelines, and modern software delivery practices.
• Strong understanding of cloud cost management, FinOps principles, performance optimization, and operational excellence.

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Other benefits as outlined in the Benefits Guidebook

Pay

$155,000.00 - $175,000.00

Schedule

37.5 scheduled weekly hours