Senior Data Engineer, SRE

Overview

Intuit Mailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaigns, CRM, and analytics tools.

As a part of the Observability Platforms team, you'll join us in maintaining, scaling, optimizing, and migrating our Observability and data pipeline infrastructure. It consists of Kafka and PubSub, which pushes up to 10 billion events per day, and Splunk, Elasticsearch and OpenSearch clusters that ingest 1 trillion documents. This data pipeline we manage is the 2nd largest piece of the Mailchimp infrastructure. We provide our internal and external customers with highly available, approachable data pipelines and discovery tools such as Wavefront, Spunk, and Grafana. Together with the rest of the Observability Platforms, we enable Mailchimp's understanding of business-critical processes and support the tools and features that Mailchimp's customers use to find and fine-tune their audiences.

• Experience writing APIs, tools, and scripts (Python, Golang, or Bash)
• Experience with cloud technologies (AWS, Google Cloud)
• Experience with Elasticsearch, OpenSearch, or Solr
• Familiarity with other pieces of our technical stack (Kafka, PubSub, Kubernetes, Wavefront, Splunk, Prometheus)
• Experience with git or other version control tools
• Ability to utilize automation and orchestration tools to build large scalable systems
• Experience with Splunk, Wavefront, and creating Dashboards and Visualizations
• Experience with large-volume data pipelines

• Collaborate across teams to support the organization's data pipeline priorities
• Automate processes, create tools, and build features that will improve everyone's experience with our data pipeline infrastructure
• Guide engineers on how they can best utilize the data streaming platform to gain confidence that their services are performing as expected
• Develop, communicate, and enforce standards
• Rethink and migrate the data streaming platform to AWS
• Participate in an on-call schedule, and assist in mitigating issues that may arise
• Troubleshoot and maintain existing infrastructure to ensure the smooth operation of data pipelines, observability tools and storage platforms
• Contribute to technical documentation of our infrastructure
• Track work in assigned tickets and contribute to project planning