Data Architect

Job Detail

Extract actionable insights from complex, large-scale, and unstructured datasets. Build and maintain scalable, efficient data pipelines and feature engineering workflows. Translate ambiguous business problems into data-driven solutions. Communicate findings effectively to technical and non-technical stakeholders. Develop, deploy, and optimize AI/ML models to enhance operational efficiency. Collaborate with cross-functional teams to define problems, identify key metrics, and provide recommendations. Design and execute statistical analyses and experiments (e.g., A/B tests). Create dashboards and visualizations for business units. Introduce innovative algorithms and optimize existing machine learning models. Establish best practices for statistical analysis, machine learning, and data management. Ensure compliance with PDPA, GDPR, and internal data governance standards. Integrate and transform data from multiple sources into usable formats. Maintain high data accuracy, completeness, and reliability. Support analytics and machine learning models in production. Monitor and optimize data systems for performance and SLA compliance. Provide curated datasets, feature stores, and data services for AI/BI applications. Identify trends, opportunities, or risks through data exploration. Achieve business-defined model performance thresholds (e.g., >95% accuracy). Reduce time spent on data preparation and feature engineering (10–30% target). Ensure high stakeholder confidence and adoption of insights. Thoroughly validate, document, and ensure reproducibility of analyses and models.