Get To Know Our Team:

• The BI‑Infra 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:

We are looking for a Senior/Staff Data Platform Engineer (BI Infra DBA) to lead the technical direction and operations of our analytics database and BI platforms (StarRocks as the primary analytics engine, Vertica, SQL Server DW, visualization backends, and related services). You will: 

• Own critical database and BI infrastructure end‑to‑end — 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 for BI‑Infra DBA 

What You’ll Do:

• Design and evolve Agoda’s BI data warehouse architecture across SQL Server DW, Vertica, StarRocks, and related services, focusing on availability, scalability, and cost efficiency. 

• Lead migration and modernization projects such as: 

  • Migrating workloads off MSSQL DW to more sustainable platforms (Production standby, data lake, StarRocks, etc.). 

  • Decommissioning legacy components as part of the long‑term DW strategy. 

• Define and implement data and query engine standards (indexing/partitioning patterns, materialized views, retention strategies, governance and access patterns) for BI platforms. 

• Define SLIs/SLOs for key services (StarRocks, Vertica, Tableau, Superset/Metabase, MSSQL DW) 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. 

• Optimize resource consumption and license/capacity planning for Query Engine – Database and BI tools. 

• Collaborate with infra and product teams to evaluate and adopt new query engines / database technologies where they materially improve reliability, performance, or cost. 

• Own upgrade and patching strategies for database and BI stacks (OS, engine, drivers), using canary/blue‑green and rollback plans to minimize downtime. 

• Improve and extend CI/CD and deployment automation for database objects, jobs, and configuration (GitLab, AWX/Ansible, ArgoCD, etc.). 

• 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. 

• Act as technical lead for BI‑Infra DBA initiatives, collaborating closely with BI‑Infra Ops/Dev/Viz, Database Operation/Development, Infra, and BI product teams. 

• Mentor and coach junior engineers on database performance, reliability, and platform engineering best practices; help raise the bar for design reviews, runbooks, and incident hygiene. 

• Contribute to knowledge sharing - Documents [Confluence, Agoda Internal Document Framework], internal talks, runbooks and help shape the technical roadmap for BI‑Infra DBA. 

Required Qualifications:

• 5+ years of experience in data engineering / database engineering / DBA / platform engineering, with at least several years owning production OLAP/BI databases 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. 

Get To Know Our Team:

The Data department oversees all Agoda’s data-related requirements. Our goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. 

The Opportunity:

As BI Manager, you will lead a new scrum team dedicated to supporting the B2B entity. Your team will own the end-to-end process of designing, building, and operating the B2B data lake and its associated data products, enabling financial reporting, operational analytics, and data-driven decision making across the organization. You will partner closely with Finance, Planning, Revenue Operations, Data Engineering, and Analytics stakeholders to ensure that data is discoverable, auditable, performant, and fully aligned with organizational and financial reporting requirements.

What You’ll Do:

• Own the full lifecycle for the data lake: ingestion, storage, cataloging, transformation, validation, and access provisioning.
• Define the data model, schema standards, and partitioning/retention strategies that support financial reporting, forecasting, and partner operations analytics.
• Establish and enforce data governance, lineage, and auditability practices critical for financial reporting (including source-to-target traceability and reconciliation).
• Implement scalable ingestion pipelines from multiple upstream systems (transactions, bookings, settlements, partner contracts) ensuring timeliness and correctness for reporting cycles.
• Build and maintain transformation pipelines (ETL/ELT) to create clean, reproducible datasets and aggregated marts used by reports and planners.
• Lead the team’s dashboard vision and quality, leading design reviews and making strategic decisions that shape how the business consumes data.
• Drive performance and cost-efficiency for the data lake: query optimization, data compaction, caching layers, and lifecycle policies to meet performance SLAs.
• Set up automated data quality checks, reconciliation jobs, and alerts, to surface anomalies before they impact reports.
• Provide self-serve data access patterns and APIs for analytics teams, planners, and finance consumers while enforcing role-based access and separation of duties.
• Collaborate with Finance and other business stakeholders to translate reporting requirements into deliverable data products and schedule data delivery aligned with financial close and planning cadences.
• Lead sprint planning, backlog prioritization, and delivery governance for the scrum; hire and mentor engineers and data stewards for the team.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Data Engineering, Information Systems, or a related field (or equivalent experience).
• 5+ years experience building and operating data platforms, data lakes, or large-scale data pipelines; 3+ years in a leadership or engineering lead role.
• Strong proficiency in SQL and scripting languages (e.g., Python, Scala, or Java) for ETL/ELT development and data validation.
• Experience with large scale data platforms (Hadoop, Impala, Spark, Vertica)
• Experience with data storage and processing technologies such as Delta Lake, Apache Iceberg, Hive, S3/GCS, Spark, Presto/Trino, or equivalent cloud data lake components.
• Solid understanding of data modelling for analytics and financial reporting (star schemas, slowly changing dimensions, partitioning, compaction).
• Demonstrated experience implementing data governance, data lineage, cataloguing (e.g., AWS Glue, Data Catalog, Amundsen), and role-based access control to meet audit and compliance requirements.
• Hands-on experience with orchestration and workflow tools such as Airflow, Prefect, or similar for scheduling and dependency management.
• Proven ability to design and run data quality frameworks (reconciliation, anomaly detection, SLA monitoring) with automated alerting.
• Experience with performance optimization for large datasets: partitioning, indexing, caching, query tuning, and cost-management strategies.
• Leadership in dashboard strategy, driving quality and experience in running effective design reviews, making strategic decisions that shape data consumption.
• Strong stakeholder management skills — able to translate finance and operations requirements into prioritized data products and delivery plans.
• Excellent communication skills in English — able to produce clear documentation, lead cross-functional reviews, and present to finance stakeholders.
• Problem-solving mindset, attention to detail, and commitment to data accuracy and auditability for financial reporting.
• Experience hiring, mentoring, and developing engineers/data stewards; ability to build a culture of ownership and operational excellence.

Preferred Qualifications:

• Experience with Snowflake and familiarity with Snowflake-specific features (clustering keys, materialized views, Time Travel, zero-copy cloning)
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform
• Analytics, business intelligence, or data visualization experience
• Knowledge of compliance and audit requirements for reporting systems.

Get to Know Our Team  

Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards. It’s a hot field and the perfect mix of data engineering and backend engineering.   

The Opportunity  

In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights. 

In This Role, You’ll Get to  

• Think and own the full life cycle of our products, not just a single piece of code – from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring  
• Design, develop and maintain platforms and data pipelines across fintech  
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape 
• Write great code and help others write great code – mentor people in your team and wider  
• Collaborate with other teams and departments 
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn’t just managing tasks but inspiring innovation and driving vision into reality
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals 
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent

What You’ll Need to Succeed  

• 8+ years of experience with strong proficiency in Java, Kotlin, Scala, or C# with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture
• Thinks in systems: their edge cases, failure modes, and life cycles
• Uses a metrics driven approach and can make informed decisions using data
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills
• Experience with Scrum/Agile development methodologies
• Excellent verbal and written English communication skills
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards

It’s Great If You Have  

• Experience working in a modern FinTech or Payments organization
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ)
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes
• Experience developing, maintaining and debugging large-scale distributed systems 
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved 

This position is based in Bangkok, Thailand (Relocation Provided)

#Bengaluru #Hyderabad #Gurgaon #SouthKorea #Berlin #London #Pakistan #Pune #SanFrancisco #SanJose #Seattle #TelAviv #Jakarta #Colombia #NewYork #Vietnam #Russia #Madrid #SaoPaulo #Noida #Toronto #Chennai #Singapore #Ukraine #UAE #Sunnyvale #BuenosAires #Austin #Barcelona #Nigeria #Mumbai #Paris #Egypt #Stockholm #Amsterdam #Romania #Serbia #NewDelhi #MountainView #Chile #Warsaw #Sydney #Bangladesh #Peru #SantaClara #Chicago #Gurgaon #Munich #Montreal #Bangkok #Tallinn #Vilnius #Riga #Dublin #IT #ENG #5   

About Agoda 

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose - Bridging the World Through Travel 

We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

The Opportunity:  

In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.. 

This role is a 6-month contract based in Bangkok, Thailand and the succeeded candidate will be assigned to the project.

In this role, you'll get to:   

• Think and own the full life cycle of our products, not just a single piece of code – from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring  
• Design, develop and maintain platforms and data pipelines
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the data platform landscape 
• Write great code and help others write great code – mentor people in your team and wider  
• Collaborate with other teams and departments 
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn’t just managing tasks but inspiring innovation and driving vision into reality
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent

 What You'll Need to Succeed:  

• experience in Java, Scala and Python. Experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture
• Thinks in systems: their edge cases, failure modes, and life cycles
• Uses a metrics driven approach and can make informed decisions using data
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills
• Experience with Scrum/Agile development methodologies
• Excellent verbal and written English communication skills
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards

 It's Great if you have:  

• Have knowledge about database high availability or query performance tuning  
• Knowledge of Docker or Kubernetes  
• Knowledge of Hadoop eco-system 

#Bangkok #IT #entrylevel