Senior Staff Data Engineer, Kandji

• 6+ years of strong data engineering design/development experience in building large-scale distributed data platforms/products
• Advanced knowledge of Python, SQL
• Familiarity with Apache Kafka, or Kinesis
• Proficiency with dbt and data modeling, especially incremental models
• Experience architecting and implementing data ingestion platforms, interacting with multiple third-party data sources, and assembling them into actionable structures
• Experience in technical leadership for data architectures within greenfield efforts
• Experience with both structured and unstructured datasets
• Deep experience with workflow management systems (Airflow, Argo Workflows, etc)
• Ability to establish and maintain relationships with key stakeholders

Desirable

• As a Senior Staff Data Engineer, you set the standard for excellence across data ingestion, preparation, modeling and quality
• The successful candidate will drive the organization's design of high performance data pipelines, helping us effectively get the most from our data
• Serve as a SME and consultant on any new data integrations or pipelines
• Identify, design, and implement data architecture; automate manual processes where appropriate. Optimize how data gets delivered, and scale our data systems where needed
• Design processes for data observability, usage metrics, and monitoring of the platform
• Collaborate with all areas of the business on their data needs and plan cross-team technical projects
• Be an innovator, leading adoption of new technologies and technical improvements