About the company
At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.
We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.
About the team
The Data & Analytics team is Justworks' data and AI center of excellence — a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us!
The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on.
Responsibilities
- Own the technical direction of Justworks' core data platform — pipelines, infrastructure, orchestration, and the standards that keep it trustworthy
- Lead architectural decisions on cloud data infrastructure, balancing scalability, cost, reliability, and security
- Drive operational excellence across the platform — observability, data quality, cost optimization, incident management, and SLAs
- Set and enforce engineering standards — testing, documentation, CI/CD, and code review best practices
- Maintain and evolve infrastructure as code, ensuring the platform is auditable, repeatable, and resilient
- Lead and develop a team of data engineers, including direct line managers and individual contributors at various levels
- Set a high bar for engineering craft — mentor engineers, conduct architecture reviews, and foster a culture of continuous improvement
- Recruit and hire high-caliber data engineers as the platform team grows
- Create an environment where engineers develop their skills, take ownership, and do the best work of their careers
- Partner with DNA functional teams (e.g. Analytics Engineering, BI, Data Science) and distributed Data Engineering teams to ensure the platform serves the full breadth of org needs
- Collaborate with other engineering teams to align on data contracts, security, compliance, and shared infrastructure
- Drive planning processes that connect platform priorities to DNA's overall strategy and enterprise OKRs
Requirements
- Hands-on engineering leader with deep experience building and operating modern data platforms
- Led teams through scale — evolving architecture, improving reliability, and making hard tradeoffs between speed, cost, and quality
- Comfortable reviewing a PR or debugging a pipeline failure as well as setting quarterly roadmap priorities or presenting a platform strategy to senior leadership
- Think in systems - how pipelines, orchestration, governance, and observability connect to produce a trustworthy platform
- Strong opinions grounded in experience with modern PaaS data stack technologies - Snowflake, Fivetran, Airflow, dbt, Estuary
- Depth in Snowflake
- Experience developing engineers, setting a high technical bar, and creating an environment where people grow
Conditions
- Reporting to the VP of Data & Analytics
- Lead the data platform organization, setting technical direction, driving operational excellence, and ensuring the platform is reliable, scalable, and built to support the company's growth