Senior Data Platform Engineer

Brief Description

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About Zywave

Job Summary

highly skilled and experienced Senior Data Platform Engineer

Snowflake, ELT pipelines, DBT, and Azure Data Factory

Key Responsibilities

• Design and implement scalable ELT pipelines using DBT and Azure Data Factory to ingest, transform, and load data into Snowflake.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data models.
• Optimize Snowflake performance through clustering, partitioning, and query tuning.
• Develop and maintain reusable DBT models and documentation for data consistency and transparency.
• Ensure data quality, governance, and security across the platform.
• Monitor and troubleshoot pipeline issues; implement proactive and scalable solutions.
• Lead code reviews, mentor junior engineers, and drive best practices in data engineering.
• Stay current with emerging technologies and recommend enhancements to the data platform architecture.
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8+ years of experience in data engineering or data platform development.
• Strong hands-on expertise in Snowflake, DBT, Azure Data Factory, and ELT pipeline design.
• Proficiency in SQL and Python for data manipulation and automation.
• Experience with CI/CD tools and version control systems (e.g., Git).
• Familiarity with data governance, security, and compliance standards.
• Strong problem-solving skills and ability to work independently as well as in teams.
• Solid understanding of data warehousing concepts and dimensional modeling.
• Exposure to Tableau, Power BI, or similar visualization tools is a plus.
• Snowflake certification is an advantage.
  

Skills

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Requirements

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