Data Platform Engineer (Senior)

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.

Requirements

Platform Engineer (Senior)

Required skills:

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Python - advanced

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System & Data Integration - advanced

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System design - advanced

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Kubernetes - regular

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Infrastructure mindset - regular

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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).

Originally posted on Himalayas