Responsibilities
- 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
- Ability to navigate between deep hands-on work and strategic technical leadership
- Excellent communication skills with both technical and non-technical stakeholders
Nice to Have
- 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
Work Arrangement
On-site — Bangkok, Thailand
Additional Information
- Relocation support is provided.
- Role is based in Bangkok, Thailand.
