Senior Data Architect
Core
Architecting Northeastern University's transition from legacy data structures to a modern, scalable, AI-ready data architecture.
Role type
Senior Data Architect
Builds
Enterprise data standards, models, governance structures, and integration patterns for data products, analytics, and AI/ML enablement.
Domain
Higher Education Information Technology
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data modeling, cloud-native architecture design, data governance, data integration patterns, AI/ML foundational components, data quality frameworks, semantic layers, vector search design, RAG pipelines, metadata management, event-driven integrations, API-based integrations, master data management.
Preferred skills
Data storytelling, architectural documentation, cross-functional leadership, distributed team alignment.
Technologies
Snowflake, Azure SQL, Databricks, DBT, Fivetran, Informatica, Kafka, EventHub, Banner, Workday, Salesforce, ServiceNow.
Responsibilities
Assess existing data structures and legacy platforms; define future-state data architecture aligned with AI and analytics needs; create conceptual, logical, and physical data models; design datasets and metadata structures for AI, RAG, and vector search; lead ingestion architecture, streaming frameworks, and API integrations; implement data quality, lineage tracking, and governance practices.
Seniority
Senior, hands-on IC with strategic advisory responsibilities