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Principal Data Architect(Hybrid/NYC/Locals)
2 months ago
Contract: 3-9 months (May go perm at end of term)
Local to Bronx preferred 2-3 days per week onsite
USC or GC only
Education experience preferred
The Principal Data Architect is responsible for designing, implementing, and managing the university's data
architecture and data management strategy and applications. This position ensures the efficient and effective
use of data resources across the institution, supporting academic, research, and administrative functions.
The Principal Data Architect will lead the development of data models, data warehousing solutions,
predictive models, and integration strategies while ensuring data governance, quality, and security standards
are met.
SUPERVISOR'S TITLE: Director of Analytics
Essential Functions:
Develops and maintains the university's data architecture strategy, including data models, data
integrations, predictive analytics, and data warehousing solutions.
Documents and visualizes data pipelines from source to destination, illustrating data flow through
university assets.
Collaborates with academic, research, and administrative units to understand data needs and
design appropriate analytics solutions.
Oversees the implementation of data management tools and technologies, ensuring alignment with
the university's overall IT strategy and compliance with relevant regulations.
Acts as a critical liaison between IT and various university departments, facilitating communication
and collaboration to address data-related challenges and opportunities.
Drives innovation in data management practices and technologies to enhance the university's data
capabilities and support its strategic goals.
Ensures data accuracy, integrity, and security in all analytics activities.
Communicates complex data insights effectively to non-technical stakeholders.
Additional Functions
Contributes to evaluating and making recommendations on resource requirements on projects
Provides work direction/coaching to team members
Develops hypothesis and identifies data needed to evaluate
Communicates status, progress, and impact to management
Resolves issues promptly
Reviews the team's work for quality and thoroughness
Demonstrates understanding of complex transactions and related configuration options
Develops implementation plans for specific components of the strategy (i.e., work plan, transitional
architecture plans)
Manages code development within a sub-team and/or develops complex modules
Leads execution of testing plans and scripts
Displays awareness of technology tool trends and potential applicability
Required Qualifications:
Bachelor's degree in a relevant field, or in lieu of a degree, 8+ years of relevant experience.
Essential skill set for this position:
General familiarity with retrieving and posting data to APIs via Curl or programmatically.
SQL: Proficiency in SQL programming with a strong background in data analytics, including
the ability to extract, analyze, and interpret complex datasets.
Experience with Power BI or similar data visualization tools and techniques.
Experience with Azure Data Factory or similar ELT/ETL tools.
Knowledge of a programming language such as Python.
Expertise in predictive analytics and statistical methods to forecast future trends and
behaviors.
Preferred Qualifications:
Understanding of business, academic, or other technology and technology support services
applications.
Experience with Higher Education ERP and Data Solutions.
Experience with CRM data and an understanding of customer/student metrics
