Hybrid Lead Data Engineer, Azure

Posted 13 hours ago

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About the role

  • Azure Lead Data Engineer designing and developing ETL/ELT pipelines using Azure Data Factory and Snowflake. Collaborating with stakeholders to optimize data workflows and maintain data quality.

Responsibilities

  • Design and develop **ETL/ELT pipelines** using **Azure Data Factory**, **Snowflake**, and **DBT**.
  • Build and maintain **data integration workflows** from various data sources to Snowflake.
  • Write efficient and optimized **SQL queries** for data extraction and transformation.
  • Work with stakeholders to understand business requirements and translate them into technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Maintain and enforce data quality, governance, and documentation standards.
  • Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 8+ years of experience in data engineering roles using Azure and Snowflake.
  • Strong problem-solving, communication, and collaboration skills.

Job title

Lead Data Engineer, Azure

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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