Senior Data Platform Operations Engineer — StarRocks
ที่อโกด้าเซอร์วิสเซส จำกัด
About Agoda
Get To Know Our Team:
- The BI‑Infrastructure organization owns Agoda’s core data warehouse architecture and operates the platforms that power analytics and BI across the company (e.g., SQL Server DW, SSAS, Vertica, StarRocks, Hadoop, Superset, Metabase, Tableau, Power BI Report Server). Our mission is to maximize system uptime and provide the best possible data and visualization experience to Agoda users.
- The BI‑Infra DBA sub‑team focuses on database and BI platform reliability, performance, and cost efficiency — designing and operating scalable OLAP engines, tuning workloads, defining SLIs/SLOs, and partnering with BI and product teams to keep critical analytics systems healthy at scale.
The Opportunity:
Senior/Staff Data Platform Operations Engineer – StarRocks
- Own critical database and BI infrastructure — architecture, performance, reliability, and security.
- Lead multi‑team initiatives such as expanding StarRocks adoption and leading sql server datawarehouse migration, and major upgrades of visualization/BI tools.
- Set engineering and operational standards for how we design, deploy, and monitor our BI data platforms, acting as the technical point of contact.
What You’ll Do:
- Design and evolve Agoda’s BI data warehouse architecture across
and related services
StarRocks - Standardize and improve query engine policies/services including BI Platforms.
- Define SLIs/SLOs for key services (StarRocks, Database, and Visualization services) and ensure they are instrumented, monitored, and reviewed regularly.
- Lead incident response for BI‑Infra DBA‑owned platforms: diagnose cross‑system issues (Query Engine – Database, VIz tools, Compute, Storage, Network), post‑mortem/root‑cause analysis, and follow‑up improvements.
- Partner with BI‑Infra Ops/Dev/Viz and DBDev/DBOps on end‑to‑end reliability — from ingestion pipelines to visualization queries and user traffic patterns.
- Perform deep query and workload tuning for high‑impact systems (e.g., finance, supply, whitelabel analytics, experimentation, DQ), reducing CPU/memory/IO and improving latency at scale.
- Own upgrade and patching strategies for database and BI stacks (OS, engine, drivers), using canary/blue‑green and rollback plans to minimize downtime.
- Build and maintain observability for BI-Infra DBA services (Grafana, Prometheus/SLO dashboards, alerting, Hedwig/NOC integrations) to detect and act on issues proactively.
- Implement and maintain secure access patterns for DW and BI platforms (service accounts, RBAC, gMSA, password rotation, SSO/OKTA integration, DR strategy).
- Partner with security and data governance teams to remediate vulnerabilities within SLAs, enforce data residency constraints, and ensure that upcoming workloads (e.g., whitelabels) are compliant by design.
Required Qualifications:
5+ years of experience in operating query engine platform at scale.- Strong expertise with StarRocks (or similar modern MPP / columnar systems such as Vertica, ClickHouse, Presto/Trino, Druid, Doris, Impala) and solid SQL Server experience, including:
- Query execution internals and tuning (plans, statistics, partitioning, indexing, materialized views).
- Capacity planning, storage layout, and backup/restore.
- Proven experience operating mission‑critical database or BI services in production:
- On‑call incident response, debugging across layers, and post‑mortem/root‑cause analysis.
- Designing and maintaining SLIs/SLOs, dashboards, and alerting for latency/availability/error budgets.
- Solid understanding of data warehouse and ETL concepts (core DW tables like Fact-Dimension, MSSQL Replication/CDC, Staging patterns, data freshness & consistency, DQ processes).
- Hands‑on experience with Linux and Windows in production environments (patching, hardening, troubleshooting resource issues).
- Experience with infrastructure automation and CI/CD:
- Pipelines and deployment automation (GitLab CI, Ansible/AWX, ArgoCD, or similar).
- Git‑based workflows for database objects.
- Strong communication and collaboration skills:
- Able to represent BI‑Infra DBA as the technical point of contact in cross‑team design and incident discussions at IC4 level.
- Comfortable explaining complex trade‑offs to both technical and non‑technical stakeholders.
Preferred Qualifications:
- Experience with StarRocks or similar modern OLAP engines, including:
- Designing schemas and materialized views for BI workloads.
- Operating clusters across multiple environments (DR, performance/capacity testing, cost tuning).
- Hands‑on work with Superset, Metabase, Tableau, Power BI Report Server as data consumers — understanding how visualization patterns translate into backend workload and SLOs.
- Exposure to Hadoop / Data Lakehouse ecosystems (e.g., Impala, Spark, Hive) and strategies for moving workloads from DW to lake/next‑gen engines.
- Experience with observability stacks (Prometheus, Grafana, Hedwig/NOC dashboards and alerting), SRE practices, and especially using AI/LLM-based tools to help with log analysis, anomaly detection, or auto-remediation for database/BI engines — this will be a strong plus.
- Prior technical leadership at IC4 level or equivalent, driving multi‑quarter cross‑team projects and raising engineering standards for reliability, performance, and maintainability.
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
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