Senior Data Architect: AI-Ready Platform Leader

Northeastern; Boston (MA); On-site; USD 131,000 - 190,000; Full time

Benefits offered by this job

Medical, vision, dental benefits

Tuition assistance

Wellness & life benefits

Retirement plan

Job summary

Northeastern University is seeking a Senior Data Architect to lead the transition from legacy data systems to a scalable, AI-ready architecture. You will analyze Banner, Workday, Salesforce, ServiceNow, Snowflake, and Azure to design future-state models that enable data products, analytics, and AI workflows.

You will establish enterprise standards, governance, and integration patterns, collaborating with distributed teams to ensure data quality, security, and discoverability for high-impact

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field.
• Ten+ years of progressive experience in data architecture, enterprise data modeling, or data engineering.
• Experience modernizing legacy data environments and designing cloud-native, AI-ready architectures.

Responsibilities

• Modern Data Architecture & Strategy Development aligning with AI and analytics needs.
• Data Modeling, Products & Platform Enablement across domains.
• AI/ML Enablement & Advanced Capabilities including datasets and metadata structures.
• Data Integration, Quality, and Governance including lineage tracking and compliance.

Skills

Data architecture

Data modeling

Leadership

Data governance

Communication

Cross-functional collaboration

Architectural documentation

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, or related field

Tools

Snowflake

Azure SQL

Databricks

DBT

Fivetran

Informatica

Kafka / EventHub

Job description

Northeastern University is seeking a Senior Data Architect to lead the transition from legacy data systems to a scalable, AI-ready architecture. You will analyze Banner, Workday, Salesforce, ServiceNow, Snowflake, and Azure to design future-state models that enable data products, analytics, and AI workflows.

You will establish enterprise standards, governance, and integration patterns, collaborating with distributed teams to ensure data quality, security, and discoverability for high-impact