Starburst Platform Engineer

Greetings,

Role : Starburst Platform Engineer

Location : Charlotte, NC (Hybrid)

Rate: $70

Starburst Platform Engineer (Google Cloud Platform Data Virtualization & SQL Acceleration)
Position SummaryClients enterprise Data Virtualization platform powered by Starburst on Google Cloud Platform (Google Cloud Platform). The successful candidate will be responsible for the end-to-end deployment, administration, optimization, and support of the Starburst platform, enabling business users and engineering teams to access and analyze data across multiple on-premises and cloud data sources through a unified SQL layer.
This role requires deep expertise in Starburst Enterprise Platform (SEP), Trino, Google Cloud Platform services, Kubernetes/GKE, data access governance, and customer engagement. The engineer will act as a trusted advisor to data consumers, helping optimize SQL workloads, troubleshoot platform issues, and drive adoption of enterprise data virtualization capabilities

Required Qualifications
Technical Skills
7+ years of experience supporting large-scale data platforms and analytics solutions. 3+ years of hands-on experience with Starburst, Trino, Presto, or distributed SQL engines. Strong experience deploying and managing workloads in Google Cloud Platform (Google Cloud Platform). Expertise in:
o Google Kubernetes Engine (GKE)
o BigQuery
o Cloud SQL
o Google Cloud Storage (GCS)
o IAM and Security Controls
o CI/CD and Infrastructure Automation
Strong SQL development and performance tuning skills.
Experience with Iceberg catalogs, data lake architectures, and federated query platforms.
Knowledge of distributed query engines, workload management, and cloud-native architectures.
Customer-Facing Skills
Ability to communicate effectively with both technical and non-technical stakeholders.
Strong troubleshooting and problem-solving capabilities.
Experience supporting enterprise customers and managing production incidents.
Ability to translate business requirements into technical solutions.
Proven ability to mentor users on SQL development and performance optimization.
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Preferred Qualifications
Experience with Data Virtualization platforms and Data Mesh architectures.
Familiarity with Dremio, Dataproc, BigQuery federation, and modern lakehouse technologies.
Knowledge of Apache Iceberg, Hive Metastore, REST Catalogs, and metadata management.
Experience supporting enterprise analytics tools such as Tableau, MicroStrategy, ThoughtSpot, or Power BI.
Financial services industry experience preferred
Thanks
Nikhil
Email id:
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