Experience working with large, complex enterprise systems
(e.g., Banner, Workday, Salesforce, ServiceNow, Snowflake,
Azure).
Demonstrated leadership in cross-functional initiatives
involving data governance, analytics, and platform
modernization.
Ability to translate complex technical concepts into
business-aligned architectural decisions.
Strong communication and data storytelling skills for senior
leadership and non-technical stakeholders.
Effective collaborator with demonstrated ability to drive
alignment across distributed teams. Strong problem-solving,
analytical thinking, and architectural documentation
skills.
Ability to set and enforce standards, patterns, reusable
components, and governance practices.
Technical Competencies:
- Expertise in modern data architecture patterns (data products,
lakehouse, domain-driven design, semantic layers).
- Deep knowledge of Snowflake, Azure SQL, Databricks, or similar
cloud data platforms.
- Proficiency with DBT, Fivetran, Informatica, or equivalent
ELT/ETL tools.
- Experience with event-driven and API-based integrations (Kafka,
EventHub, microservices).
- Knowledge of AI/ML foundational components: vector databases,
feature 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, Salesforce, Banner, and ServiceNow
data alignment
3) AI/ML Enablement & Advanced Capabilities
- Design datasets and metadata structures supporting AI, RAG,
vector search, and agentic workflows.
- Collaborate with AI Studio and analytics teams to enable model
training and inference at scale
4) Data Integration, Quality, and Governance
- Lead ingestion architecture, streaming frameworks, and API
integrations.
- Implement data quality, lineage tracking, and governance
practices.
- Support FERPA, GDPR, and institutional compliance.
5) Serve as trusted advisor to academic and administrative
partners
- Communicate roadmaps and architectural decisions to ITS
leadership
Position Type
Information Technology
Additional Information
Northeastern University considers factors such as candidate work
experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit
eligible employees. This includes medical, vision, dental, paid
time off, tuition assistance, wellness & life, retirement- as
well as commuting & transportation. Visit
https://hr.northeastern.edu/benefits/ for
more information.
All qualified applicants are encouraged to apply and will receive
consideration for employment without regard to race, religion,
color, national origin, age, sex, sexual orientation, disability
status, or any other characteristic protected by applicable
law.
Compensation Grade/Pay Type:
114S
Expected Hiring Range:
$130,945.00 - $189,868.75
With the pay range(s) shown above, the starting salary will depend
on several factors, which may include your education, experience,
location, knowledge and expertise, and skills as well as a pay
comparison to similarly-situated employees already in the role.
Salary ranges are reviewed regularly and are subject to
change.
To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Senior-Data-Architect_R137507
jeid-d5b5da4938c59b44b2cd88df90b661c6
