Data Architect
Job Summary
Job Description
Experienced Data Architect needed for OKX, a leading crypto exchange. You'll design and manage data architecture using AWS EMR, Hive, and PySpark. Proficiency in Alibaba Cloud MaxCompute and PAI is essential.
Must have:
- AWS EMR, Hive
- PySpark, Python
- Alibaba Cloud
- Data Architecture
Good to have:
- Java, GoLang
- ETL Processes
- Big Data Tech
- Fintech, Crypto
Perks:
- Competitive Pay
- L&D Programs
8 skills required
Job Details
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.
About the Opportunity
We are seeking a highly skilled Data Architect to join our progressive data team. This role involves designing and managing our data architecture to support our growing needs for robust, scalable, and secure data operations. As a Data Architect at OKX, you will play a pivotal role in shaping our data infrastructure, focusing on optimizing data flow and storage for real-time and batch-processing data systems.
What You’ll Be Doing
Design and establish data architectures using AWS EMR, Hive, S3, and PySpark.
- Implement and develop upon open source tools like airflow and open metadata
- Design and develop aws scripts or tools to make data dev experience better
- Implement and manage data solutions in Alibaba Cloud MaxCompute for enhanced data processing and analytics capabilities.
- Leverage Alibaba Cloud PAI for the deployment of advanced machine learning models and analytics.
- Develop, maintain, and scale data pipelines while ensuring architectural coherence across multiple data initiatives.
- Work collaboratively with cross-functional teams to understand data requirements and ensure that the data architecture supports data transformation, data structures, metadata, dependency, and workload management.
- Promote data governance and security best practices throughout the organization.
- Optimize data retrieval processes and create dashboard visualizations to aid strategic decision-making.
- Address and resolve data-related technical issues, optimizing system performance.
What We Look For In You
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- At least 3 years of experience in a data architect role, ideally within fintech or a crypto exchange environment.
- Expert knowledge of AWS services including EMR, Hive, and S3.
- Proficiency in PySpark and Python; knowledge of Java and GoLang is advantageous.
- Strong familiarity with Alibaba Cloud MaxCompute and PAI.
- Comprehensive understanding of data architecture principles, ETL processes, and big data technologies.
- Exceptional problem-solving abilities and capability to perform in a rapidly changing environment.
- Excellent communication and team collaboration skills.
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!
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