As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover.
Moreover, ensure compliance and data governance at the appropriate level in line with the company's standards.
Platform Engineer (Senior)
Required skills:
Python - advanced
System & Data Integration - advanced
System design - advanced
Kubernetes - regular
Infrastructure mindset - regular
English - advanced
What we expect in general:
We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion.
Strong experience with Python (preferred) or Go (acceptable).
Experience with Kubernetes – running, deploying, and operating services in k8s.
Experience building APIs / connectors/integrations between services.
Infrastructure mindset – experience working with and setting up observability.
Background in process automation and scheduled jobs (e.g. Airflow).
Technical writing skills (no AI-generated slop).
Excellent communication skills and a pragmatic approach to problem-solving
Don’t worry if you don’t meet all the requirements. We are looking for mature engineers who are transitioning/navigating between Software Engineering and Data domains. This is a customer-facing role that often requires interactions with stakeholders and multiple teams (presentations, design docs, and coordination).
We are the company behind JVM dev tools with 15 years of experience, consulting top-tier clients through countless optimizations, solving complex industry problems, and AI-ready tooling overhauls. We give you deep knowledge of what actually breaks, what scales, and what delivers results when it matters most.
