Senior Data Engineer — Starburst / Apache Trino

Starburst Enterprise Platform / Apache Trino · Remote, United States

| | | |-|-| | Role | Senior Data Engineer + Platform Administrator | | Practice | Data Engineering — Starburst / Trino federated lakehouse | | Location | United States — remote | | Hours | US business hours; US Eastern (ET) preferred | | Engagement | Contract — initial term with extension by mutual agreement | | Openings | 1 | | Experience | 8+ years, including 2+ years hands-on with Trino or Presto in production |

About the role

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Triade is building an integrated delivery squad for a Starburst Enterprise Platform (SEP) / Apache Trino engagement with a US enterprise client in financial services. This is one team supporting one customer — not a set of isolated contract hires.

The squad delivers across two tracks: the data layer (Trino federation and the Iceberg lakehouse) and the access and reporting layer (BI and the semantic layer). Materialized views on Apache Iceberg are the shared hand-off between them, so the two tracks work in step rather than in sequence.

What you will own

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You are the hands-on owner of the federated lakehouse platform — designing and building on it, and administering the clusters it runs on. You break down data silos with federated query, so the client gets high-performance SQL across cloud and on-premise sources without heavy ETL.

• Architect, configure, and manage Starburst / Trino clusters and connectors; build federated data pipelines and data products that serve BI and self-service analytics.
• Administer the platform on Kubernetes with Helm — catalogs, connectors, and Dev / QA / Prod separation — owning monitoring, tuning, and availability.
• Implement and optimise materialized views on Apache Iceberg, the shared hand-off into the BI track.
• Own platform security and governance: access control, data