Data Engineer Lead

We are seeking an experienced Data Architect to lead the design and evolution of our enterprise data architecture. This role is responsible for defining and enforcing data standards, designing scalable and robust data platforms, and ensuring alignment between business needs and technical implementation. You will work closely with data engineers, analysts, and business stakeholders to build a high-performance, reliable data environment. The ideal candidate has deep expertise in data modeling, architecture design, and hands-on experience with modern data infrastructure tools.

• Design and evolve enterprise data architecture aligned with business and analytics needs.
• Define and enforce data modeling standards (conceptual, logical, and physical models) across systems.
• Architect and guide implementation of scalable data pipelines (batch & real-time) using Spark, Kafka, Airflow.
• Design efficient data lake and data warehouse architectures using MinIO (object storage) and ClickHouse (OLAP database).
• Collaborate with Data Engineers to ensure data models are optimized for performance and aligned with the data platform standards.
• Work with Product Owners and Business Analysts to ensure alignment between data structures and business requirements.
• Lead data governance initiatives: metadata management, data cataloging, data lineage, and access control.
• Review and validate dbt models and ensure consistency in business logic and transformations.
• Evaluate new technologies and propose architectural improvements to enhance scalability, flexibility, and performance.
• Provide architectural guidance and mentorship to engineering teams.

• 5+ years of experience in data architecture, data modeling, or enterprise data design.
• Strong experience with dimensional modeling, star/snowflake schema, and OLAP performance tuning.
• Proficiency in SQL and Python for data exploration and prototyping.
• Hands-on experience with data processing frameworks (e.g., Apache Spark, Kafka) and orchestration tools (e.g., Airflow).
• Experience designing and working with data lake/warehouse systems such as  MinIO and ClickHouse.
• Familiarity with dbt (Data Build Tool) and its role in transformation layer management.
• Strong understanding of data governance, security, and data lifecycle management.
 

• Leave
• Social Security
• Health Insurance (After Probation)
• Birthday Gift Card 500THB
• Laptop Rental (Case by case)
• Company Activity
• สวัสดิการกู้ซื้อบ้านกับธนาคารอาคารสงเคราะห์  (หลังผ่านโปร)
• ปรับเงินเดือนทุกปีเมื่อครบสัญ