Data Leader

Coins.ph; Taguig; On-site; PHP 1,674,000 - 2,232,000; Full time

Benefits offered by this job

Career advancement opportunities

Innovative company culture

Collaborative work environment

Job summary

A leading cryptocurrency platform in the Philippines seeks an experienced Data Team Lead to manage a high-performance data team. Responsibilities include building data infrastructure, leading recruitment and performance, and integrating business needs into data solutions. Candidates should have extensive experience in big data technologies and team management in the data industry. This role offers opportunities for career advancement in a rapidly growing organization focused on making impactful changes.

Qualifications

• 8+ years of data industry experience, with 3+ years of management experience.
• Proficiency in big data technologies like Apache Spark and AWS.
• Strong programming skills in Python, Scala, or Java.

Responsibilities

• Lead team recruitment, training, and performance management.
• Plan and build core data infrastructure and architectures.
• Oversee the lifecycle of key data projects and ensure timely delivery.

Skills

Team Leadership

Data Governance

Data Analysis

Project Management

Programming in Python/Scala/Java

Communication Skills

Education

Bachelor’s/Master’s in Computer Science, Software Engineering, Data Science

Tools

Apache Spark

AWS

Databricks

Terraform

Job description

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.

Key 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)

Join the Coins Team Now!

Meaningful Collaborations - The successful candidate will work cross‑functionally with other relevant teams to carry out implementations that will improve and create an impact on customer experience.

Scalable Growth - Be part of a fast‑growing organization with the vision to expand its territories outside APAC which will provide opportunities for career advancement.

A Space For Bright Ideas - Let your bright ideas be converted into meaningful changes! Coins culture welcomes new ideas backed up by data to create an impact.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.