Senior Software Engineer - Analytics Data Platform Lakehouse | Datadog Careers

Datadog

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $130,000–$300,000 / yr
Posted: 14 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k

This role $215k

$110k most similar roles pay here $320k

This role pays more than 67% of similar roles. Most pay $153,318–$224,062 — the shaded band above. At the midpoint, this role pays about $215k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 114 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 56 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer - Analytics Data Platform Lakehouse | Datadog Careers

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Join the Analytics Data Platform Lakehouse team at Datadog to design and build core components of their lakehouse platform, including Apache Iceberg table management and catalog integration with Trino, Spark, DuckDB, and Puppygraph. Drive adoption of open-source table formats across internal teams while enhancing observability for managed iceberg tables to optimize query performance and cost efficiency. Develop self-serve tooling that enables data engineering teams to run thousands of pipelines daily against the lakehouse. Collaborate closely with data engineers, analysts, and infrastructure teams to define the roadmap for scalable analytic data management. Ideal candidates have a strong background in Computer Science or related fields, deep experience with Apache Iceberg, Trino, Spark, and Kubernetes deployments in cloud environments, along with significant open-source contributions.

Skills

Apache_Iceberg Trino Apache_Spark Kubernetes Java Scala Go Python Parquet ORC Prometheus Grafana CI/CD

What you'll do

Design and build core components of the lakehouse platform for Apache Iceberg table management.
Drive adoption of open-source table formats across internal teams at petabyte scale.
Develop observability tools to identify query performance bottlenecks in managed tables.
Create self-service tooling for data engineering teams to run thousands of daily pipelines.
Contribute fixes back to upstream open-source projects like Iceberg and Trino.

What we're looking for

Deep production experience with Apache Iceberg, Trino, or Apache Spark, including significant open-source contributions.
Built or operated large-scale distributed data systems in a professional setting.
Solid understanding of query planning and columnar file formats like Parquet and ORC.
Proficient in Java, Scala, or Go, and comfortable using Python for pipeline tooling.
Experience deploying and running data infrastructure on Kubernetes in cloud environments.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

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