Senior Snowflake Data Engineer

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Job Description

Summary

Our client is seeking a Senior Snowflake Data Engineer to design, build, and optimize cloud-scale data pipelines and architecture. This role focuses on Snowflake, Databricks, and advanced data engineering practices to support enterprise analytics and reporting needs.

Key Responsibilities

  • Build, enhance, and maintain large-scale ETL/ELT pipelines across Snowflake and Databricks.
  • Design end-to-end data architecture including ingestion, transformation, modeling, and governance.
  • Implement secure, scalable, and cost-efficient data solutions aligned with best practices.
  • Drive data modeling using dimensional, star, and snowflake schema techniques.
  • Develop data lineage, quality controls, and monitoring frameworks.
  • Optimize compute and storage costs while maintaining performance and reliability.
  • Collaborate with engineering, analytics, and business teams to support reporting and visualization.
  • Manage schema design, user roles, permissions, and access control.
  • Contribute to solution architecture strategy and technical decision-making.

Required Qualifications

  • Strong hands-on experience with Snowflake and Databricks.
  • Proven ability to build scalable ETL/ELT pipelines and data transformations.
  • Deep understanding of data architecture, system design, and modern data platforms.
  • Expertise in data modeling and schema design methodologies.
  • Proficiency in SQL for complex transformations and automation.
  • Experience implementing data lineage, data quality, and monitoring processes.
  • Knowledge of cost optimization strategies across cloud data ecosystems.
  • Experience working with reporting tools such as Power BI or Sigma.
  • Excellent communication and collaboration skills.

Tech Stack

Snowflake, Databricks, SQL, ETL/ELT, Data Modeling, Power BI, Sigma Computing

Compensation & Benefits

Competitive compensation aligned with market standards.
Health benefits, PTO, remote flexibility (varies by client).

Work Schedule

Monday–Friday, flexible hours, occasional on-call (if applicable).

About the Client

Our client is a growing technology-focused organization committed to building scalable digital solutions.

Why Join the Team?

  • Opportunity to lead modern data engineering initiatives.
  • High-impact role supporting enterprise analytics.
  • Collaborative environment working with advanced cloud technologies.

How to Apply

Submit your resume to people@ignitetalentpartners.com. Shortlisted candidates will be contacted.