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Data Leader

coins · Taguig City, Metro Manila, Philippines

External listingfull-time5 months ago

About The Role

***Join the Pioneer Crypto Brand in the Philippines!***

Coins is the most established crypto brand in The Philippines and has gained the trust of more than 18 million users. Through the easy-to-use mobile app, users can buy and sell a variety of different cryptocurrencies and access a wide range of financial services.

Coins is fully regulated by the Bangko Sentral ng Pilipinas (BSP) and is the first ever crypto-based company in Asia to hold both Virtual Currency and Electronic Money Issuer licenses from a central bank.

### Responsibilities

  • Lead team recruitment, training, performance management and echelon building; establish technical standards and work norms to build a high-efficiency collaborative data team.
  • Plan and build core data infrastructure (data warehouse, data lake, real-time data platform) and design business-adaptive data models/layered architectures for unified integration of multi-source data (trading, payment, user, operation, etc.).
  • Build and implement enterprise-level data governance systems (data quality, security, caliber, lifecycle management) to eliminate data silos and ensure data accuracy, integrity and reusability.
  • Lead the selection, construction and optimization of data platforms/tools (Databricks, AWS, Spark, Kafka, etc.); promote the best practices of big data and cloud native technologies to improve data development efficiency.
  • Deeply connect with cross-departmental business needs (trading, payment, compliance, operation); provide customized data analysis, dashboards and API support to empower data-driven business growth and risk control.
  • Oversee the whole lifecycle of key data projects (platform upgrade, data integration, governance implementation); control project progress, quality and cost to ensure on-time delivery and business goals achievement.
  • Track the latest trends in big data, data governance and cloud technologies; introduce industry best practices to continuously optimize the company’s data system and enhance technical competitiveness.

### Requirements

  • Bachelor’s/Master’s degree in Computer Science, Software Engineering, Data Science or related fields; **8+ years of data industry experience, 3+ years of data team management experience**; crypto/fintech/payments industry experience is a MUST.
  • Proficiency in big data tech stack: Apache Spark/Flink/Kafka (real-time/offline data processing), Databricks/Delta Lake; hands-on experience in data warehouse/lake architecture design and implementation.
  • Expertise in **AWS cloud services** (EC2, S3, Glue, EMR, Redshift); with cloud-native data architecture design and operation capabilities.
  • Mastery of data modeling methodologies (dimensional modeling, star/snowflake schema); rich experience in **financial/trading data modeling** for high-concurrency, large-volume business scenarios.
  • Solid programming skills in **Python/Scala/Java**; proficient in ETL development process, able to lead the design and optimization of complex data pipelines.
  • Proven experience in building and implementing enterprise-level data governance systems; able to solve practical data governance problems (quality, security, caliber unification).
  • Excellent team leadership and project management capabilities; strong business acumen to translate business needs into data solutions.
  • Outstanding cross-departmental communication and collaboration skills; able to work efficiently with technical, business and compliance teams.
  • **Fluent in English (written & spoken)**; able to work in an English-speaking environment.

### **Preferred Qualifications**

  • AWS/Azure/GCP cloud certification (e.g., AWS Data Analytics Specialty).
  • Experience in building data middle platforms and enterprise-level data assetization.
  • Familiar with financial/crypto data compliance requirements (GDPR, local financial regulations).
  • Hands-on experience with DevOps/Infra-as-Code tools (Terraform) and BI tools (Metabase).

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