Principal Accountabilities

Solution Design & Business Partnership

• Translate business requirements into data architecture and technical solutions.

• Estimate workload sizing, costs, effort, impacts, and delivery plans.

• Collaborate with business users, product owners, BAs, and project managers.

Build & Delivery

• Develop and maintain batch and streaming pipelines using SQL, Python, and GCP services.

• Build data transformations using Dataform and BigQuery, including external system integrations via FTP/SFTP.

• Implement data models, quality checks, validation, and reconciliation.

Governance & Operations

• Ensure data security, access control, classification, and compliant data sharing.

• Implement monitoring, logging, lineage, alerting, and incident resolution.

• Optimize pipeline performance and cloud costs, leveraging AI tools where appropriate.

Technical Leadership

• Establish engineering standards, design reviews, coding practices, CI/CD, and documentation.

• Mentor engineers, lead root cause analysis, and support cross-functional data initiatives.

• Ensure production code and pipelines are reviewed, tested, secure, and maintainable, including AI-assisted code.

Qualifications Required

Education

• Bachelor’s degree or higher in Computer Science, IT, Engineering, Statistics, or a related quantitative field.

Required Experience & Skills

• 5+ years of hands-on data engineering experience delivering enterprise-scale data platforms and pipelines.

• Strong hands-on GCP experience: BigQuery, Dataform, Cloud Storage, Composer/Airflow, Dataflow or Dataproc, Pub/Sub, Cloud Functions, Cloud SQL, and IAM.

• Advanced SQL, data modeling, query optimization, and strong Python scripting for data processing, integration, and automation.

• Experience with ETL/ELT, workflow orchestration, data quality, validation, and reconciliation.

• Experience in data architecture, business requirement analysis, workload sizing, cost estimation, and delivery planning.

• Strong knowledge of data security, governance, access control, and controlled data sharing.

• Experience operating production pipelines, including monitoring, alerting, troubleshooting, and cost optimization.

• Strong communication and collaboration skills with business and technical stakeholders.

Advantageous

• AWS/Azure, Spark/Kafka, Dataplex, Terraform, CI/CD, and AI/GenAI engineering tools.

• Retail or multi-business-unit experience.

• Relevant cloud certifications, such as Google Professional Data Engineer.

Characteristics / Skills

• Business-oriented with strong analytical and problem-solving skills.

• Clear communication in Thai and English.

• Collaborative, adaptable, and resilient under pressure.

• Strong ownership, leadership, attention to detail, and mentoring skills.