รายละเอียดงาน**งานสัญญาจ้าง / Outsource**
ประสบการณ์ 6 ปีขึ้นไป
• 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.
Required Qualifications
• 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.