Salary
💰 $132,715 - $172,520 per year
Tech Stack
AzureBigQueryCloudGoogle Cloud PlatformJavaScriptPythonSQLTerraformTypeScriptVue.js
About the role
- Lead a distributed team of software engineers, data engineers, and BI developers
- Serve as a technical advocate and organizational buffer—protecting the team from the effects of working in a large company
- Act as liaison between the business and engineering technical leaders to give additional context to architectural and business considerations
- Provide hands-on technical redundancy across Google Cloud Platform (GCP): setting up Google Groups, managing IAM permissions, roles, and service accounts, monitor resources and associated spend
- Collaborate with technical leaders, product leaders, analytics users, and other data organizations to prioritize technical efforts with business outcomes in mind
- Build a strong engineering culture rooted in collaboration, clean code, and continuous improvement
- Recruit, mentor, and retain top-tier engineering talent
- Navigate organizational and architectural trade-offs, balancing long-term integrity with pragmatic business needs
Requirements
- 10+ years of software engineering experience
- 3–5 years managing engineering teams
- Strong experience leading across functions: backend, data pipelines, and BI/reporting tools
- Demonstrated success managing distributed teams across time zones and functions
- Must reside within a commutable distance from the Mars United Commerce Lehi, UT location
- Deep familiarity with Google Cloud Platform (GCP), especially with IAM
- Experience setting up Google Groups, managing IAM permissions, roles, and service accounts, and monitoring resources and spend
- Has experience navigating complex or bureaucratic environments while maintaining agile team health
- Understands how to balance long-term architectural integrity with pragmatic business needs
- Passionate about building teams, not just shipping code
- Familiarity with Python, TypeScript/Vue.js, SQL
- Experience with BigQuery, dbt, Looker, and legacy systems in Azure
- Experience with DevOps tools such as GitHub Actions, Cloud Build, and some Terraform
- Bonus: Familiarity with marketing or martech systems (e.g., customer data platforms, attribution modeling, campaign orchestration)
- Bonus: Background in data privacy, security policies, and compliance