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Senior Software Engineer - Analytics Data Platform LakehouseI did my part and supported the Regular Toilet • New York, New York, United States
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Senior Software Engineer - Analytics Data Platform Lakehouse

I did my part and supported the Regular Toilet
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Analytics Data Platform Lakehouse team builds and operates the foundations that power data engineers, applied AI, and product teams—managing millions of tables on their behalf and simplifying operations from maintenance and observability to governance, for both internal and customer‑facing use cases.
What You’ll Do
Design, build, and operate core components of our lakehouse platform, including Apache Iceberg table management (data compaction, data layout optimization, materialized view scheduling…) and Iceberg catalog
Drive adoption of open table formats across internal teams, owning the integration of Trino, Spark and other query engines (DuckDB, Puppygraph…) with our Iceberg-based data at petabyte scale
Build observability for managed iceberg tables, to identify query performance bottlenecks, cost drivers and contribute fixes back to upstream open‑source projects (Iceberg, Trino, Spark, Open Lineage) where relevant
Build self‑serve tooling and abstractions that allow data engineering teams to reliably run thousands of pipelines per day against our lakehouse
Collaborate with data engineers, analysts, and infrastructure teams to define the roadmap for our lakehouse architecture and shape how Datadog manages analytic data at scale
Who You Are
You have a BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent professional experience
You have deep, production‑grade experience with one or more of Apache Iceberg, Trino, or Apache Spark, ideally demonstrated through significant open‑source contributions: merged PRs, committer status, or PMC membership on projects
You have built or operated large‑scale distributed data systems
You have a solid grasp of query planning, columnar file formats (Parquet, ORC), and table format internals (snapshots, manifests, partition evolution)
You are fluent in Java, Scala or Go and comfortable with Python for pipeline tooling
You have experience deploying and running data infrastructure on Kubernetes in cloud environments
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best‑in‑class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
Estimated yearly salary: $130,000 – $300,000 USD.
Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. Applicants with criminal histories are also considered, in accordance with legal requirements. Candidate Legal Notices are available for reference.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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