Principal Data Architect

OptiRoi Media; Tampa (FL); Remote; USD 200,000 - 250,000; Full time

Job summary

Join a rapidly growing SaaS company as a Data Architect, where you'll lead the design and implementation of a cutting-edge data platform. This role offers the chance to shape the future of IT operations with innovative cloud-native solutions. Collaborate with engineering teams to create scalable data processing pipelines that handle millions of events per second. With a focus on AWS services, you'll ensure the reliability and performance of our systems while mentoring others in best practices. This is an exciting opportunity to make a significant impact in a high-growth environment, contributing to a company that values collaboration and ownership.

Qualifications

• 8+ years in data architecture, focusing on high-throughput distributed systems.
• Experience with AWS data services and real-time processing frameworks.

Responsibilities

• Lead architectural design of a new data platform for scalability and performance.
• Mentor engineers on data modeling and architectural best practices.

Skills

Data Architecture

Distributed Systems

AWS Services

Data Modeling

Real-time Stream Processing

Technical Leadership

Tools

AWS Kinesis

DynamoDB

RedShift

EMR

Apache Kafka

Kubernetes

Python

Go

Java

Job description

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

$200,000 - $250,000 USD +Bonus

LOCATION

Remote - Work from home in the US*

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
• Kubernetes for container orchestration
• Python, Go, Java (primary languages)
• Modern CI/CD practices

The salary range listed is the base pay range for this position. In addition, the total compensation package includes bonus, equity, and benefits. Actual earnings may be less or more depending on a candidate's direct experience, skills, industry knowledge, and location.

ABOUT AUTOMOX

Automox is the cloud-native IT operations platform for modern organizations. Our award-winning answer to modern IT operations and best-in-class results earned Automox four straight quarters of record growth. We are now trusted by more than 2,500 leading companies and MSPs worldwide, including NASA, Yale, Xerox, Allbirds, and Unicef. It makes it easy to keep every endpoint automatically configured, patched, and secured – anywhere in the world. The future of IT Operations is cloud-native – and right now. Will you join us?

EMPLOYMENT AT AUTOMOX

Must be able to pass a federal, state, county background check.
Complete a local in-person verification.

We are committed to an inclusive and diverse company. Automox is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

We are not able to sponsor work visas at this time.

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