StrongDM is driven by a clear mission: Secure Access, Zero Trust.
We design products and solutions that reflect this commitment, transforming the way organizations manage privileged access across their critical infrastructure. By leading with Zero Trust Privileged Access Management (PAM), we help our customers achieve secure, dynamic, and fine-grained control over access to their most sensitive resources. This focus on security has earned us an industry-leading 98% customer retention rate.
Once a customer, forever a fan. That's our goal.
When you work at StrongDM, you join a team committed to solving today’s security challenges with technology that works and customers who trust us to protect their most critical assets.
If you ask anyone at StrongDM, you’ll find that our values truly guide everything we do—from how we innovate to how we treat each other. These values are the foundation of our culture and define who we are as a company. It may sound cliché, but we’re onto something great—and G2 agrees.
We embrace the mission
We pursue mastery
We win together
These are the principles we embody as an organization. They influence how we work as individuals and teams, and what we look for in candidates who join us. We’re glad you’re here! If this sounds like an environment where you’d thrive, read on.
We are seeking a highly skilled Principal Data Engineer with extensive experience in building cloud data lakes and architecting large-scale data platforms. You will be instrumental in designing and implementing data architectures that support diverse use cases, AI/ML to business intelligence (BI).
The ideal candidate will have deep expertise in tabular formats like Apache Iceberg, Apache Parquet, and other open standards. As a Lead Data Engineer, you will work closely with data scientists, AI teams, and business stakeholders to ensure that our data infrastructure is robust, scalable, and optimized for a variety of computational workloads. This role requires an innovative mindset and the ability to lead data engineering projects, making key architectural decisions that shape our data ecosystem.