Senior Lead/Principal Software Engineer, Back End (Bangkok based, Relocation provided)

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experi...

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Lead the development of AI-powered data querying solutions, enabling users to ask business questions in natural language and receive actionable insights.
Architect and develop scalable data quality tools and frameworks to ensure reliable and trustworthy data.
Act as a hands-on technical leader, tackling complex challenges across AI query engines, data quality systems, and analytical engines.
Collaborate with TPMs and stakeholders to define and drive the technical vision and roadmap for AI-driven querying, query engines, and data quality tools.
Mentor engineers and raise standards across data quality & governance tools, query engines, and the broader data platform.

 

10+ years of experience in software engineering, data engineering, or related fields
Strong hands-on experience with:
SQL and large-scale data systems
Modern analytical databases / data warehouses (e.g., StarRocks, Snowflake, BigQuery, ClickHouse)
Backend development (e.g., Python, Java, Scala or similar)
Experience building or working with:
AI/LLM-based applications (e.g., text-to-SQL, conversational interfaces, cursor, copilots)
Data platforms or analytical infrastructure at scale
Strong understanding of data modeling, query execution, and performance optimization
Proven ability to lead cross-team, high-impact technical initiatives
Ability to navigate between deep hands-on work and strategic technical leadership
Excellent communication skills with both technical and non-technical stakeholders

 
Experience with text-to-SQL systems or AI-driven data interfaces
Experience implementing or scaling analytical engines such as StarRocks
Background in data observability, quality, or governance frameworks
Experience with tools like dbt, Airflow, Spark, or similar

 
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