Senior Data Architect
AI summary of the role
The Senior Data Architect leads Northeastern University's transition from legacy data systems to a modern, AI-ready architecture.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Assess existing data structures, integrations, and legacy platforms to define the enterprise's future-state data architecture aligned with AI, automation, and analytics needs.
- Create conceptual, logical, and physical data models across domains and partner with data owners to deliver scalable data products.
- Design datasets and metadata structures supporting AI, RAG, vector search, and agentic workflows; collaborate with AI Studio and analytics teams.
- Lead ingestion architecture, streaming frameworks, and API integrations; implement data quality, lineage tracking, and governance practices.
What you’ll bring
- Bachelor's degree in Information Systems, Computer Science, Engineering, or related field and 10+ years of progressive experience in data architecture, enterprise data modeling, or data engineering.
- Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures.
- Experience with large, complex enterprise systems (e.g., Banner, Workday, Salesforce, ServiceNow, Snowflake, Azure).
- Expertise in modern data architecture patterns (data products, lakehouse, domain-driven design, semantic layers).
Technologies
Banner · Workday · Salesforce · ServiceNow · Snowflake · Azure · Databricks · DBT · Fivetran · Informatica · Kafka · EventHub
About Northeastern University
Private R1 research university built on experiential co-op education, operating a globally distributed campus network across 13+ US and international cities.
Bootstrapped · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Job Summary The Senior Data Architect is responsible for architecting Northeastern University’s transition from legacy data structures to a modern, scalable, AI‑ready data architecture. This role conducts deep assessments of existing systems—including Banner, Workday, Salesforce, ServiceNow, Snowflake, and Azure—and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and
More from the job description
About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Job Summary The Senior Data Architect is responsible for architecting Northeastern University’s transition from legacy data structures to a modern, scalable, AI‑ready data architecture. This role conducts deep assessments of existing systems—including Banner, Workday, Salesforce, ServiceNow, Snowflake, and Azure—and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows. *Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future. Minimum Qualification Knowledge and skills required for this position are typically acquired through the completion of a Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field and ten or more years of progressive experience [... source excerpt omitted ...] ature stores, RAG pipelines, metadata management. Strong understanding of data modeling (conceptual, logical, physical), master data management, and data quality frameworks. Key Responsibilities 1) Modern Data Architecture & Strategy Development Assess existing data structures, integrations, and legacy platforms. Define the enterprise’s future-state data architecture aligned with AI, automation, and analytics needs. Establish standards, patterns, and reusable frameworks 2) Data Modeling, Products & Platform Enablement Create conceptual, logical, and physical data models across domains. Partner with data owners to deliver scalable data products. Support Snowflake, Azure, Sale
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