Data Engineering Lead

New

Skills

Apache Kafka Change Data Capture (CDC) Data Modeling Data Quality Assurance dbt Distributed Systems Event Streaming PostgreSQL Snowflake Terraform

We are seeking a Staff Software Engineer specializing in Data Engineering to take ownership of our end-to-end event pipeline, from Kafka ingestion to Snowflake analytics. This role involves designing distributed data systems that scale efficiently and ensuring high data quality and reliability.

Key Responsibilities
  • Own the end-to-end event pipeline, managing data ingestion through Kafka and analytics in Snowflake.
  • Design distributed data systems that facilitate fast queries and scalability.
  • Lead Change Data Capture (CDC) pipelines and streaming transformations at a large scale.
  • Establish standards for data quality, reliability, and observability.
  • Drive strategic decisions regarding data modeling and technology choices.
  • Mentor engineers to elevate data practices across teams.
Required Skills & Qualifications
  • 10+ years of experience as a data/software engineer with a focus on distributed systems.
  • Expert-level knowledge of Apache Kafka and event streaming platforms.
  • Proficiency in Snowflake and PostgreSQL, including CDC patterns and replication.
  • Proven track record of leading major data infrastructure initiatives.
  • Strong communication skills with the ability to influence across teams.
  • Familiarity with dbt, Terraform, and regulations such as GDPR/CCPA.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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