Snowflake Developer

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. This developer will work across legacy data structures (Banner, Workday, Salesforce, Service Now, 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.

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.

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

• Education:
  
  Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required
• Experience:
  
  4–6+ years of experience building cloud-native data pipelines or enterprise data platforms. 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 Service Now.
• 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/Event Hub). 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.

• Snow Pro Core, Snow Pro Advanced, or Snowflake Solutions Architect certifications.
• Experience with Snowflake’s AI/ML stack (Cortex, Snowpark ML, Vector Stores).
• Experience with DBT Cloud, Git Hub Actions, CI/CD for data pipelines.
• Experience enabling AI workflows in Snowflake (RAG, inference endpoints, embeddings).
• Experience in higher education or other federated organizations.

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…