ARE YOU READY TO POWER THE WORLD’S CONNECTIONS?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

ABOUT THE ROLE:

We are seeking a Data Platform Engineer to join our team. In this role, you will design, develop, and maintain scalable data pipelines and systems, leveraging modern data engineering tools and techniques. You will collaborate with cross-functional teams to ensure data is accessible, reliable, and optimized for analytics and decision-making processes.This position requires deep expertise in handling large-scale data systems, including Snowflake, Kafka, dbt, Airflow, and other modern ELT/Reverse ETL technologies.

WHAT YOU’LL BE DOING:

• Design & Build Scalable Data Pipelines: Develop and maintain real-time and batch data pipelines using tools like Kafka, dbt, and Airflow/Snowpark.
• Data Modeling: Implement and optimize data models in Snowflake to support analytics, reporting, and downstream applications.
• Implement ELT Processes: Build efficient ELT pipelines for transforming raw data into structured, queryable formats.
• Reverse ETL Solutions: Enable operational analytics by implementing Reverse ETL workflows to sync processed data back into operational tools and platforms.
• Data Integration: Work with APIs, third-party tools, and custom integrations to ingest, process, and manage data flows across multiple systems.
• Automation: Leverage orchestration tools like Apache Airflow or Snowpark to automate workflows and improve operational efficiency.
• Collaboration: Partner with Data Scientists, Analysts, and Product teams to understand business requirements and deliver actionable data insights.
• Governance & Security: Implement and maintain data governance policies and ensure compliance with data security best practices.