Axon

Staff Software Engineer, Data

Axon

full-time

Posted on:

Origin:  • 🇺🇸 United States • Washington

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Salary

💰 $171,000 - $273,600 per year

Job Level

Lead

Tech Stack

CloudElasticSearchGoJavaKafkaKubernetesPythonScalaSparkSQLTerraform

About the role

  • Act as technical steward for data architecture, integrity, engineering, and governance across the business unit
  • Lead design and development of scalable, high-availability data platforms supporting mission-critical features such as real-time 911 data ingestion, Knowledge Graph index resolution, and analytical workloads
  • Drive architectural strategy across the data lifecycle, including storage, schema evolution, ingestion pipelines, retention, search, and warehousing
  • Own end-to-end data integrity and embed compliance (CJIS, agency-specific) and observability into platform infrastructure in partnership with security and product teams
  • Develop and evolve next-generation storage solutions to support both transactional and analytical workloads
  • Drive cross-functional architectural strategy, resolve systemic bottlenecks, and align data models across domains
  • Mentor engineers across multiple squads, act as a design reviewer, and grow a culture of technical rigor, operational excellence, and ownership in data-intensive engineering

Requirements

  • 8+ years of software engineering experience, designing and operating large-scale, distributed data systems spanning OLTP, OLAP, and real-time processing domain
  • Deep expertise in data architecture and infrastructure, including scalable storage systems, stream processing (e.g., Kafka, Kinesis), data lakes or lakehouses, and search platforms (e.g., Elasticsearch, OpenSearch)
  • Fluency in modern cloud-native technologies, including Kubernetes, infrastructure-as-code (e.g., Terraform), CI/CD pipelines, and observability stacks
  • Strong programming skills in both systems and data-oriented languages (e.g., Go, Java, Scala, Python, SQL) and familiarity with Spark/Databricks for large-scale transformations
  • Proven experience leading cross-functional technical initiatives, including driving architecture reviews, defining SLOs, resolving incidents, and mentoring senior engineers
  • Good understanding of data governance, security, and compliance with a bias for automation and auditability
  • Excellent communication and collaboration skills, with the ability to influence architecture across multiple teams and align stakeholders toward long-term data strategy
  • Some roles may require legal eligibility to work in a firearms environment