Trino Power User / Analyst 100%

Job Title: Trino Power User / Analyst

1. Role Description

• Design, deploy, and operate Trino clusters on-prem Kubernetes
• Configure and maintain Trino catalogs and connectors for heterogeneous data sources (Hive, Iceberg, Kafka, object storage)
• Optimize query execution performance through tuning of memory, CPU, spill and partitioning
• Implement workload management using resource groups, query prioritization, and concurrency limits
• Ensure high availability, scalability, and fault tolerance of the Trino clusters
• Monitor cluster performance, query latency, and system health using observability tools
• Troubleshoot system-level issues, query failures, and resource contention
• Collaborate with Data Engineers and Analysts to define best practices for efficient data access
• Contribute to architecture decisions around data lakehouses, federated query, and distributed analytics

1. Experience

• 5+ years of experience in distributed data systems, data platforms, or big data infrastructure
• Hands-on experience with Trino (or Presto) cluster deployment and operations
• Experience with Kubernetes, containerization, or VM-based distributed systems
• Experience integrating data sources such as Hive Metastore, Iceberg and Kafka
• Proven experience in performance tuning and distributed query optimization
• Experience with monitoring and observability tools (Prometheus, Grafana, Dynatrace)
• Familiarity with security standards and access control mechanisms (LDAP, Kerberos, RBAC)
• Experience working in Agile environments with cross-functional teams
• Experience in financial services or regulated environments is a plus

1. Skills

• Strong understanding of Trino architecture (coordinator/worker, execution model, query planning, resource groups)
• Expertise in performance tuning (joins, partition pruning, predicate pushdown, resource usage)
• Knowledge of modern data architectures (data lakes, lakehouses, data mesh)
• Hands-on experience with open table formats Iceberg
• Experience in infrastructure and platform engineering (Kubernetes, Linux, networking)
• Familiarity with Java/JVM-based systems
• Experience with monitoring, alerting, and troubleshooting distributed systems
• Basic scripting/programming skills (Python, Bash) for automation
• Strong problem-solving and system-level debugging skills

Location: Zurich, minimum 3-4 days to work from office

Start Date: Immediate

Travel Required: Mostly No. On Exceptional basis- if client demands

AARK Tech Solutions GmbH
Seestrasse 11
8805 Richterswil