Join our team in building a modern, high-impact Analytical Platform for one of the largest integrated resort and entertainment companies in Southeast Asia. This platform will serve as a unified environment for data collection, transformation, analytics, and AI-driven insights—powering decisions across marketing, operations, gaming, and more.

You’ll work closely with Data Architects, Data Engineer, Business Analyst and DevOps Engineers to design and implement scalable data solutions.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in data modeling, data architecture, or data engineering roles. Proficiency with data modeling tools (, ER/Studio, ERwin, dbt, SQL Developer Data Modeler). Strong SQL skills and experience with relational and dimensional database modeling (, star and snowflake schemas). Experience with modern data warehouses (, Snowflake, Redshift, Yellowbrick) and ETL/ELT tools. Understanding of data governance, metadata management, and data cataloging tools. Experience collaborating in Agile/Scrum teams and working with version-controlled data models (, via Git).

Nice to have skills

Experience working with data lakehouse architectures or modeling for big data environments (, Delta Lake, Apache Iceberg). Familiarity with business intelligence tools (, Tableau, Power BI, Looker). Knowledge of data quality frameworks and observability best practices. Experience working in regulated industries (, gaming, finance, hospitality).

Responsibilities:

Design and implement conceptual, logical, and physical data models that support enterprise reporting, analytics, and operational processes. Develop and maintain data dictionaries, entity-relationship (ER) diagrams, and metadata management solutions. Collaborate with data engineers to optimize data structures and ensure proper integration with data pipelines. Translate complex business requirements into scalable and efficient data models. Enforce data modeling best practices, including normalization, denormalization, indexing, and partitioning strategies. Ensure data models are aligned with master data and data governance standards. Conduct model reviews and provide documentation and training to technical and non-technical stakeholders. Participate in performance tuning and troubleshooting of large-scale data models and queries.

Benefits

35 absence days per year for work-life balance Udemy courses of your choice English courses with native-speaker Regular soft-skills trainings Excellence Сenters meetups Online/offline team-buildings Business trips