Data Engineering Director
at OKX
Posted 6 hours ago
No clicks
- Compensation
- Not specified SGD
- City
- Singapore
- Country
- Singapore
Currency: $ (SGD)
Lead and mentor a team of Data Engineers to design, build, and operate resilient, scalable data pipelines for both batch and real-time workloads. Architect and implement enterprise Data Warehouse and Data Mart solutions with robust data modeling and ETL processes. Define and maintain analytics-ready Data Marts using dimensional modeling (star/snowflake) and cloud-based infrastructure. Partner with cross-functional teams to translate business requirements into scalable data solutions that enable evidence-based decision-making across the organization.
Who We Are:
About the team:
The OKX Data Team owns and powers the company’s enterprise-wide data ecosystem. We are responsible for the full data lifecycle — from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science.
Our team drives end-to-end data ownership across OKX, ensuring that data is reliable, scalable, and actionable. We build the foundational data infrastructure that empowers evidence-based decision-making and continuously enhances the quality of our products and services.
As a Data Engineering Director, you will lead a high-impact team in designing and scaling mission-critical data platforms that serve the entire organization.
Responsibilities:
- Lead and mentor a team of Data Engineers to design and build resilient, scalable, and high-performance data pipelines for both batch and real-time streaming workloads
- Architect and implement robust Data Warehouse and Data Mart solutions, including data modeling and ETL pipeline development
- Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling techniques (star and snowflake schemas)
- Define and implement cloud-based data infrastructure using industry-standard technologies and modern architectural principles
- Drive technical excellence and delivery across mission-critical projects in a fast-paced, high-growth environment
- Partner closely with cross-functional teams to translate business requirements into scalable data solutions
Requirements:
- At least 8 of more years of experience in a Data Engineering, Data Warehousing or Data Mart related field
- Practical experience in building offline and real-time Data Warehouses
- Familiarity with Data Warehouse Modelling theory and experience in Data Warehouse Model Design, plus an in-depth understanding of Data Warehouse systems, and experience supporting real-world business scenarios
Good to have:
- Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
- Experience in R&D of real-time big data systems and real-time data warehouses
- Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems
- Prior experience managing a team of Software Engineers/Data Engineers
Perks & Benefits:
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
