Agoda - BI Manager (Bangkok based, relocation provided)
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Requirements
• 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. • 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. • Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Responsibilities
• Own the full lifecycle for the data lake: ingestion, storage, cataloging, transformation, validation, and access provisioning. • data lake • 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). • data governance, lineage, and auditability • 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.
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