Data Engineering Director
Quick Summary
Lead and mentor a team of Data Engineers to design and build resilient, scalable,
At least 8 of more years of experience in a Data Engineering,
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. You will also play a key role in driving the adoption of Agentic AI to elevate how we build, operate, and evolve our Data Engineering capabilities.
Responsibilities
~1 min read- →
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
- →Championing Agentic AI adoption across workflows (text-to-SQL agents, automated data quality remediation, self-healing pipelines etc.)
- →Defining best practices, guardrails, and evaluation frameworks for safely deploying AI agents in the data lifecycle
- →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
~1 min read- 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
- Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context
- Experience building AI-powered data tools — NL query interfaces, automated anomaly remediation agents, intelligent data observability
- Hands-on experience applying Agentic AI to data engineering (text-to-SQL, LLM-powered remediation, self-healing pipelines, automated metadata/lineage management and more)
-
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
What We Offer
~1 min readListing Details
- Posted
- April 2, 2026
- First seen
- March 26, 2026
- Last seen
- April 16, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- April 16, 2026
Signal breakdown

OKX is a global cryptocurrency exchange and Web3 technology company, offering trading, wallet services, and access to decentralized finance. Founded in 2017, it serves millions of users in over 100 countries.
View company profilePlease let Okx know you found this job on Jobera.
Similar Data Engineering Director jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.