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

About the role

We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure. This role combines leading the development of AI-powered data querying — enabling users to ask business questions in natural language and receive actionable insights — while shaping the evolution of our data quality tools, and analytical engines such as StarRocks.

This position is based in Bangkok, Thailand. (Relocation support is provided)

Opportunity

• 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.

Requirements

• 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.
• Excellent communication skills with both technical and non-technical stakeholders.

Qualifications

• 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.