Zendesk

Senior Staff Data Engineer

Zendesk

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $183,000 - $275,000 per year

Job Level

Senior

Tech Stack

AirflowAWSBigQueryCloudDistributed SystemsDockerGoJavaKafkaKubernetesMySQLPythonScalaTableauTerraform

About the role

  • Lead design, development, and scaling of the enterprise data platform.
  • Work in a collaborative Agile environment across the full software development lifecycle.
  • Lead data engineering projects at scale, planning and delivering complex multi-team systems.
  • Own large mission-critical systems or multiple complex projects from design through operation.
  • Collaborate cross-functionally on research, brainstorming, and technical solutions.
  • Design and build end-to-end analytics solutions for customer 360, finance, product, sales, and other domains.
  • Establish engineering best practices and mentor engineers to raise the technical bar.
  • Identify, design, and implement internal process improvements, automation, and data delivery optimization.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 10+ years of experience in data engineering, data architecture, or distributed systems.
  • At least 5 years in technical leadership roles.
  • 7+ years building, working & maintaining scalable data platforms.
  • 5+ years experience with Cloud columnar databases (Snowflake, Google BigQuery etc).
  • 3+ years production experience with dbt and modern ELT pipelines.
  • Extensive experience with Airflow, Snowflake, Fivetran, DBT, AWS, GitHub Actions, Docker, Kubernetes, Terraform.
  • Hands-on experience with AWS services (S3, Glue, EMR, Athena, Snowpipe, Kubernetes, Terraform).
  • Understanding of data governance, security controls, and access management.
  • Solid experience in observability, alerting, and incident management for data systems.
  • Intermediate experience with Python, Go, Java, or Scala (primarily Python).
  • Excellent communication skills and ability to collaborate with executives, data scientists, analysts, and engineers.
  • Proven ability to mentor staff and senior engineers.