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Syracuse University · 1 month ago

BI Data Architect

Syracuse, NY

Full-time

Onsite

Entry, Mid Level

2+ years exp

Syracuse University is a private, international research university with a commitment to data innovation. The Data Architect will lead the transformation of institutional analytics capabilities, architecting advanced analytics environments and integrating emerging technologies to support evidence-informed decision making across the university.

AnalyticsData CenterEducationNon Profit

H1B Sponsor Likely

Responsibilities

Architect and optimize IDR’s current analytics environment (Tableau) while preparing for integrating emerging platforms such as Microsoft Fabric, Power BI, or future technologies

Design flexible, platform-independent data governance structures and access protocols that can be adapted as systems evolve

Develop migration strategies and change management plans to ensure smooth transitions between analytics platforms

Inform campus-wide initiatives to establish enterprise analytics standards that transcend specific tools, focusing on sustainable practices that will remain relevant regardless of the underlying technology

Partner with university offices to create unified data visualization and reporting standards that enhance decision-making consistency while maintaining flexibility to adopt new tools as they emerge

Design and build sophisticated data models and interactive analytics solutions using current and emerging platforms, transforming complex institutional datasets into compelling visual narratives for strategic decision-making

Maintain expertise in multiple analytics platforms to ensure continuity during technology transitions

Serve as technical mentor and innovation catalyst for IDR team members, developing their platform-agnostic analytical capabilities while fostering a culture of continuous learning and adaptation

Pioneer creative solutions for complex analytical challenges by integrating various data sources, AI-enhanced calculations, and predictive modeling capabilities across different technology stacks, establishing methodologies that can be implemented regardless of the specific tools in use

Research, evaluate, and integrate new analytics technologies and University approved AI platforms into institutional reporting workflows, transforming manual processes into intelligent, automated systems

Lead proof-of-concept initiatives for emerging tools and platforms, assessing their potential value for the university’s analytics ecosystem

Deploy current and future AI tools to reduce processing time and improve accuracy while maintaining the flexibility to adapt as new technologies emerge

Create technology-agnostic data summarization and insight generation processes that can leverage available tools to, enable leadership to make evidence-informed decisions

Collaborate with the campus data warehouse team to specify, design, and optimize data structures that support multiple analytics platforms and can adapt to future technologies

Serve as the strategic liaison between IDR and IT data services, translating complex institutional research requirements into scalable, platform-independent data solutions

Lead the evolution of IDR’s data models to support current tools (Tableau, Fabric) while designing for future flexibility, ensuring data structures can support whatever analytics platforms the university adopts

Advocate for modern, adaptable data architecture principles that prioritize longevity and flexibility over platform specific solutions

Qualification

Tableau developmentData architectureSQLAI toolsData governanceCollaborationProblem-solvingCommunicationAdaptability

Required

Bachelor's degree required, strongly preferred in information science, data analytics, data science, computer science, or a related field

Equivalent combination of education and experience will be considered

Two or more years of work experience in Tableau development and administration is strongly desired

Evidence of ability to work with technical staff and end users to clearly assess needs, develop solutions, and articulate technical requirements is required

Platform-agnostic mindset with proven ability to transition between different analytics and visualization tools

Understanding of data governance, security, and access management principles that apply across multiple platforms

Ability to evaluate and recommend new technologies based on institutional needs rather than platform familiarity

Preferred

Advanced degree (Master's) is desirable but not required

Experience with dimensionally modeled data and various database systems (Oracle, SQL Server, cloud-based solutions) strongly desired

Working knowledge of SQL and data querying languages is strongly desired

Current knowledge and experience with AI tools are desired, as is a commitment to maintaining expertise in emerging technologies

Company

Syracuse University

Glassdoor4.2

Syracuse University is a private, international research university with distinctive academics, diversely unique offerings and an undeniable spirit.

Founded in 1989

Syracuse, New York, USA

1001-5000 employees

https://www.tracfed.syr.edu/

H1B Sponsorship

Syracuse University has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2025 (50)

2024 (51)

2023 (50)

2022 (32)

2021 (44)

2020 (33)