Senior Data Architect

Job Summary

The Senior Data Architect is responsible for defining, governing, and leading the organization’s enterprise data strategy, architecture roadmap, and cloud data modernization initiatives. This role serves as the enterprise authority for data architecture, data management, analytics platforms, and AI‑ready data ecosystems, ensuring that organizational data assets are secure, trusted, accessible, and strategically aligned with business objectives. The Senior Data Architect provides technical and strategic leadership in the design, implementation, and optimization of scalable, secure, and high‑performing cloud‑based data solutions that support operational reporting, business intelligence, advanced analytics, artificial intelligence, and emerging data‑driven initiatives.

This position serves as the enterprise subject matter expert for Microsoft Fabric and the Microsoft Azure data ecosystem, leading the transition from legacy and on‑premises data environments to modern cloud‑native architectures.

• Develop, maintain, and execute the enterprise data architecture strategy and multi‑year roadmap aligned with organizational goals, digital transformation initiatives, and business priorities.
• Lead the design, implementation, and optimization of enterprise cloud data platforms utilizing Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Power BI, and related Azure technologies.
• Architect scalable data warehouse, lakehouse, data mesh, and data integration solutions supporting enterprise reporting, analytics, and artificial intelligence initiatives.
• Establish and enforce enterprise standards, best practices, and governance policies for data architecture, data modeling, integration, metadata management, data lineage, security, and quality.
• Lead enterprise data modernization and migration efforts from legacy and on‑premises platforms to cloud‑native architectures and services.
• Design and oversee enterprise ETL/ELT frameworks, data pipelines, orchestration processes, and Data Ops practices to improve data delivery, reliability, and scalability.
• Partner with executive leadership, business stakeholders, and technology teams to translate business requirements into scalable and sustainable enterprise data solutions.
• Collaborate with Enterprise Architecture, Security Architecture, and Application Development teams to ensure alignment with organizational technology standards and strategic objectives.
• Lead architecture reviews and provide governance oversight for enterprise data solutions, ensuring compliance with approved standards and architectural principles.
• Provide technical leadership, mentorship, and architectural guidance to data engineers, developers, analysts, AI engineers, and project teams.
• Evaluate emerging technologies and industry trends, recommending innovative solutions that enhance organizational data capabilities, AI readiness, performance, and cost efficiency.
• Develop and promote data‑as‑a‑product principles to improve accessibility, usability, and business adoption of enterprise data assets.
• Establish cloud cost optimization and Fin Ops strategies to balance performance, scalability, and operational expenditures.
• Ensure compliance with data governance, privacy, security, regulatory, and institutional requirements while fostering a culture of data stewardship and accountability across the organization.
• Manage a team of developers, assign work, coach and mentor.
• Act as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
• Lead or coordinate teams or projects for activities relating to software support and/or development.
• Perform other related work as needed.

• College or university degree in a related field.
• 7+ years of relevant work experience in a related discipline.

• Master’s degree.
• 12+ years of progressively responsible experience in enterprise data architecture, data engineering, data warehousing, enterprise data management, analytics platforms, and cloud data solutions.
• Microsoft Certified Fabric Data Engineer.

• Proficient in designing, implementing, and…