Principal Data Architect

Are you ready to own something big? Automox is turning IT admins into IT heroes by replacing traditional tools with our award winning cloud-native endpoint management platform. Our product works autonomously and so do our teams. We value a ‘one team’ mentality where everyone’s unique skills contribute to an environment that encourages collaboration and ownership. At Automox you’re enabled to do your best work, grow your career, and have an impact that will be noticeable. WE ARE A_TOMOX… all that’s missing is U! 

COMPENSATION

Remote - Work from home in the US* or Ontario

OVERVIEW

We're a rapidly growing, venture-backed SaaS company reinventing IT Operations with our cloud-native platform. Our platform processes tens of thousands of events per second, helping enterprises monitor, manage, and optimize their IT infrastructure in real time. As we scale, we're looking for a veteran Data Architect to reimagine our data architecture and lead us into our next phase of growth.

As our Data Architect, you'll own our next-generation data architecture's technical vision and implementation. You'll work directly with our engineering teams to design and implement scalable solutions to handle tens of thousands of concurrent events while maintaining sub-second latency. This is a unique opportunity to shape the foundation of a high-growth platform using cutting-edge AWS services and distributed systems patterns.

WHAT YOU'LL BE DOING

• Lead the architectural design and implementation of our new data platform, focusing on scalability, reliability, and performance
• Design and implement real-time data processing pipelines capable of scaling to millions of events per second
• Architect solutions using AWS services such as Kinesis, DynamoDB, RedShift, and EMR
• Create data modeling standards and best practices for the engineering organization
• Collaborate with engineering teams to implement new data architecture patterns
• Develop migration strategies to transition from current architecture to new solutions
• Mentor engineers on data modeling and architectural best practices
• Partner with product management to align technical architecture with business goals

BACKGROUND & SKILLS REQUIRED

• 8+ years of experience in data architecture, with at least 3 years focused on high-throughput distributed systems
• Proven experience designing and implementing systems processing 1M+ events per second
• Deep expertise with AWS data services (Kinesis, DynamoDB, RedShift, S3, EMR)
• Strong background in data modeling for both operational and analytical workloads
• Experience with real-time stream processing frameworks (Apache Kafka, Amazon Kinesis)
• Track record of successfully re-architecting large-scale production systems
• Expertise in distributed systems patterns and eventual consistency models

NICE TO HAVES

• Experience with IT Operations or observability platforms
• Knowledge of time-series databases (Prometheus, InfluxDB, Timestream)
• Background in implementing data mesh or data lake architectures
• Experience with Apache Cassandra or other distributed databases
• Familiarity with OpenTelemetry and similar observability standards
• Track record of technical leadership in a high-growth environment

• TECH STACK

  • AWS (Primary cloud platform)
  • Kafka/Kinesis for event streaming
  • DynamoDB, PostgreSQL, Redis
  • Kubernetes for container orchestration
  • Python, Go, Java (primary languages)
  • Modern CI/CD practices

  This is a unique opportunity to join a fast-growing company and make a significant impact on our technical foundation. We're looking for someone excited about solving complex distributed systems challenges and can help us scale our platform to the next level

  LOCATION

  We are a fully distributed company with remote workers in concentrated areas across the United States.

  ***Note: We currently don't hire in California or New York metro***