3-5+ years of direct Snowflake development
experience.
Demonstrated ability to modernize legacy data structures and
migrate workloads into Snowflake.
Experience working with enterprise systems such as Workday,
Salesforce, and/or ServiceNow.
Technical Competencies:
- Deep knowledge of Snowflake architecture, warehouses,
micro-partitioning, clustering, performance tuning, and cost
optimization.
- Strong SQL and ELT development skills including DBT, Fivetran,
Informatica, or similar tools.
- Experience with Snowflake Cortex, Snowpark, UDFs, dynamic
tables, streams, and tasks.
- Familiarity with AI workloads: embeddings, vector search, RAG,
LLM orchestration pipelines.
- Experience with ETL/ELT frameworks, API integrations, and event
streaming (Kafka/EventHub).
- Understanding of data modeling, data vault, star/snowflake
schema, and data products.
Required Skills:
- Ability to write clean, optimized SQL and pipeline
code.
- Strong analytical and troubleshooting skills with ability to
diagnose poorly performing workloads.
- Ability to translate business requirements into Snowflake data
structures and pipelines.
- Strong collaboration and communication skills with
cross-functional technical and non-technical teams.
- Ability to prioritize workload in a fast-paced environment with
shifting needs.
Preferred Qualifications
- SnowPro Core, SnowPro Advanced, or Snowflake Solutions
Architect certifications.
- Experience with Snowflake's AI/ML stack (Cortex, Snowpark ML,
Vector Stores).
- Experience with DBT Cloud, GitHub Actions, CI/CD for data
pipelines.
- Experience enabling AI workflows in Snowflake (RAG, inference
endpoints, embeddings).
- Experience in higher education or other federated
organizations.
24/7 operational support:
This role requires occasional availability outside of traditional
working hours to address urgent business needs as they arise,
including, but not limited to, responding to security incidents,
supporting software deployments, resolving system issues, and
addressing other critical operational requirements. The ideal
candidate must be proactive and adaptable, ensuring minimal
disruption to business operations by promptly addressing any
issues, regardless of time or day. Flexibility and a strong sense
of urgency are essential for success in this position.
Other duties as required:
This role requires flexibility in performing duties outside of the
primary responsibilities to support evolving business needs. The
ideal candidate must be adaptable and willing to take on additional
tasks or projects as required, ensuring smooth operations across
the organization. This may include stepping in to assist with
cross-functional teams, handling unexpected challenges, or
contributing to initiatives that support business growth and
success. A proactive mindset and the ability to pivot quickly are
essential for thriving in this dynamic environment.
Hybrid work schedule:
This role is hybrid and in the office three days a week to
facilitate collaboration and teamwork. In-office presence is an
essential part of our on-campus culture and allows for engaging
directly with staff and students, sharing ideas, and contributing
to a dynamic work environment. Being on-site allows for stronger
connections, more effective problem-solving, and enhanced team
synergy, all of which are key to achieving our collective goals and
driving success
Key Accountabilities & responsibilities
Snowflake Development & Optimization
- Build and maintain Snowflake schemas, tables, dynamic tables,
materialized views, file formats, stages, and secure data sharing
structures.
- Develop performant SQL/ELT code using Snowflake best practices,
including clustering, micro-partitioning, and query
profiling.
- Monitor workloads and optimize compute usage, warehouses, and
storage for cost and performance efficiency.
Data Pipeline & Integration Development
- Design and develop ELT pipelines with Fivetran, DBT,
Informatica, or equivalent tools.
- Integrate legacy and cloud systems (Banner, Workday,
Salesforce, ServiceNow, Azure) into Snowflake.
- Build scalable ingestion patterns including batch,
event-driven, and incremental data pipelines.
AI & Advanced Snowflake Capabilities
- Work with Snowflake Cortex for AI/ML workloads including
embedding generation, LLM inference, and cognitive
search.
- Develop Snowpark Python transformations, UDFs, and
machine-learning features.
- Implement vectorized storage, model-serving patterns, and
AI-ready data transformations.
- Support RAG/semantic search pipelines and agentic workflows
leveraging Snowflake-native AI features.
Data Quality, Governance & Security
- Implement data quality rules, metadata tagging, lineage
tracking, and documentation.
- Manage roles, RBAC, masking policies, and compliance with
FERPA/GDPR/security controls.
- Ensure all datasets and products meet consistency, reliability,
and discoverability standards.
- undefined
Collaboration & Cross-Functional Support
- Partner with data architects, data engineers, analytics teams,
and domain stewards.
- Support academic and administrative units requiring Snowflake
solutions.
- Troubleshoot, monitor, and improve existing data products in
partnership with business and IT stakeholders.
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:
113S
Expected Hiring Range:
$113,865.00 - $165,105.00
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/Snowflake-Developer_R137506
jeid-1a44420e8c879846a9d4faa355a4b52f
