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Aegistech

Senior Snowflake Developer

Take me back

Location: New York , New York

Salary/Pay Range: 110-115

Job Description

Our client is seeking a Senior Snowflake Development consultant for a 1+ year contract.  This position is hybrid onsite in Mid-Town NYC 4 days a week.  Local Candidates only/NO RELOCATION.

This role is not eligible for employer-sponsored work authorization (e.g., H-1B, OPT, CPT, etc.) or transfer. Candidates must have valid U.S. work authorization

Candidate must be our W-2 employee. No third parties please.



Senior Snowflake Developer

Role Summary A Senior Snowflake Developer designs, builds, and optimizes enterprise grade data solutions on Snowflake, enabling scalable analytics, reporting, and data driven decision making. This role blends hands on engineering, architectural influence, and stakeholder engagement to deliver high quality, governed, cloud native data products.



Senior Snowflake Developer

Role Summary A Senior Snowflake Developer designs, builds, and optimizes enterprise  grade data solutions on Snowflake, enabling scalable analytics, reporting, and data  driven decision  making. This role blends hands  on engineering, architectural influence, and stakeholder engagement to deliver high  quality, governed, cloud  native data products.



Core Responsibilities

Solution Design & Development


  • Design, develop, and maintain scalable data solutions within Snowflake.
  • Build and optimize enterprise ELT/ETL pipelines supporting critical reporting and analytics workloads.
  • Design and implement robust data models (dimensional, analytical, operational).
  • Develop and maintain reusable transformation frameworks using dbt.
  • Build Python  based data processing, automation, and integration solutions.
  • Contribute to architecture decisions, technical design standards, and platform strategy.
  • Support modernization and migration initiatives from legacy systems to cloud  based platforms.

Data Engineering & Optimisation


  • Develop ingestion and transformation processes across diverse source systems (APIs, databases, SaaS, streaming).
  • Optimize Snowflake databases, queries, warehouses, and workloads for performance and cost efficiency.
  • Ensure solutions are scalable, maintainable, and aligned with enterprise engineering standards.
  • Implement data quality controls, validation frameworks, and monitoring capabilities.
  • Troubleshoot and resolve complex production issues, including performance bottlenecks and pipeline failures.

Stakeholder Engagement


  • Partner directly with business stakeholders to translate requirements into technical solutions.
  • Facilitate workshops, discovery sessions, and requirements gathering.
  • Communicate effectively with technical and non  technical audiences.
  • Build strong relationships across business, analytics, engineering, and governance teams.
  • Provide technical leadership, mentoring, and guidance throughout project delivery.

Governance & Best Practice


  • Champion best practices in data engineering, modelling, Snowflake usage, and software development.
  • Contribute to technical documentation, standards, and knowledge  sharing initiatives.
  • Support code reviews, testing, CI/CD, and release activities.
  • Ensure compliance with governance, security, privacy, and regulatory requirements.

Top Skills & Technologies


  • Snowflake (warehouses, tasks, streams, Snowpipe, performance tuning)
  • SQL (advanced analytics, optimization, modelling)
  • dbt (models, tests, macros, documentation)
  • Python (automation, orchestration, data processing)
  • Cloud platforms (AWS, Azure, or GCP)
  • Orchestration tools (Airflow, Prefect, Dagster)
  • Version control & CI/CD (Git, GitHub Actions, Azure DevOps, etc.)
  • Data modelling (Kimball, Data Vault, semantic layers)
  • Data quality & observability (Great Expectations, Monte Carlo, Soda)