Job Summary

The Snowflake Developer is responsible for designing, developing, optimizing, and operationalizing Northeastern University’s Snowflake data platform. This role requires deep expertise in Snowflake’s core capabilities—including data modeling, performance tuning, ELT pipelines, security controls, and orchestration—while also preparing the university for advanced AI and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features.

The developer will work across legacy data structures (Banner, Workday, Salesforce, ServiceNow, and other enterprise systems) and build modern, scalable data pipelines and transformations that enable analytics, automation, applied AI, and agentic workflows. This role is foundational to transforming our data platform into an AI-ready environment

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*Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the futur

e.
Minimum Qualificati

onsEducation: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field requi

red
Experie

• nce:4–6+ years of experience building cloud-native data pipelines or enterprise data platfo
• rms.3–5+ years of direct Snowflake development experie
• nce.Demonstrated ability to modernize legacy data structures and migrate workloads into Snowfl
• ake.Experience working with enterprise systems such as Workday, Salesforce, and/or Service

N

ow. Technical Competenc

• ies:Deep knowledge of Snowflake architecture, warehouses, micro-partitioning, clustering, performance tuning, and cost optimizat
• ion.Strong SQL and ELT development skills including DBT, Fivetran, Informatica, or similar to
• ols.Experience with Snowflake Cortex, Snowpark, UDFs, dynamic tables, streams, and ta
• sks.Familiarity with AI workloads: embeddings, vector search, RAG, LLM orchestration pipeli
• nes.Experience with ETL/ELT frameworks, API integrations, and event streaming (Kafka/EventH
• ub).Understanding of data modeling, data vault, star/snowflake schema, and data produ

c

ts. Required Ski

• lls:Ability to write clean, optimized SQL and pipeline c
• ode.Strong analytical and troubleshooting skills with ability to diagnose poorly performing worklo
• ads.Ability to translate business requirements into Snowflake data structures and pipeli
• nes.Strong collaboration and communication skills with cross-functional technical and non-technical te
• ams.Ability to prioritize workload in a fast-paced environment with shifting ne

e

ds. Preferred Qualificat

• ionsSnowPro Core, SnowPro Advanced, or Snowflake Solutions Architect certificati
• ons.Experience with Snowflake’s AI/ML stack (Cortex, Snowpark ML, Vector Stor
• es).Experience with DBT Cloud, GitHub Actions, CI/CD for data pipeli
• nes.Experience enabling AI workflows in Snowflake (RAG, inference endpoints, embeddin
• gs).Experience in higher education or other federated organizati

ons.
24/7 operational sup

port: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 posi

t

ion. Other duties as requ

ired: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 environ

m

ent. Hybrid work sche

dule: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 su

ccess
Key Accountabilities & responsibi

lities
Snowflake Development & Optim

• izationBuild and maintain Snowflake schemas, tables, dynamic tables, materialized views, file formats, stages, and secure data sharing stru
• ctures.Develop performant SQL/ELT code using Snowflake best practices, including clustering, micro-partitioning, and query pro
• filing.Monitor workloads and optimize compute usage, warehouses, and storage for cost and performance effi

ciency.
Data Pipeline & Integration Dev

• elopmentDesign and develop ELT pipelines with Fivetran, DBT, Informatica, or equivalen
• t tools.Integrate legacy and cloud systems (Banner, Workday, Salesforce, ServiceNow, Azure) into Sn
• owflake.Build scalable ingestion patterns including batch, event-driven, and incremental data pi

pelines.
AI & Advanced Snowflake Cap

• abilitiesWork with Snowflake Cortex for AI/ML workloads including embedding generation, LLM inference, and cognitiv
• e search.Develop Snowpark Python transformations, UDFs, and machine-learning
• features.Implement vectorized storage, model-serving patterns, and AI-ready data transfo
• rmations.Support RAG/semantic search pipelines and agentic workflows leveraging Snowflake-native AI

features.
Data Quality, Governance &

• ; SecurityImplement data quality rules, metadata tagging, lineage tracking, and docu
• mentation.Manage roles, RBAC, masking policies, and compliance with FERPA/GDPR/security
• controls.Ensure all datasets and products meet consistency, reliability, and discoverability
• standards

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Collaboration & Cross-Functio

• nal SupportPartner with data architects, data engineers, analytics teams, and domai
• n stewards.Support academic and administrative units requiring Snowflake
• solutions.Troubleshoot, monitor, and improve existing data products in partnership with business and IT st