Technical Lead for Data Infrastructure

5 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia BTSE Full time

About BTS Group

BTS Group is a global fintech leader, anchored by three core business pillars: Exchange, Payments, and Infrastructure Development. We serve over 100 corporate clients worldwide, providing white-label exchange and payment solutions. Our offerings encompass everything from exchange infrastructure hosting and development to custody, wallets, payments, blockchain integration, trading, and more. We are looking for talented professionals in marketing, operations, customer support, and other departments. The roles offered may be on-site, remote, or hybrid, in collaboration with our local partner.

About the Role:

We are seeking a Technical Lead for Data Infrastructure to lead the design and implementation of our data infrastructure pipeline, supporting our rapidly expanding crypto exchange operations. This role will focus on managing and architecting systems capable of handling massive volumes of real-time transaction data, user behavior data, market feeds, and other critical information for various business functions. You will work closely with cross-functional teams to ensure the availability, scalability, and cost-efficiency of the data systems.

The ideal candidate is a hands-on leader who can build and scale complex data infrastructures, optimize data storage and processing, and ensure that our systems are fast, secure, and compliant.

Main Responsibilities:

  • Data Architecture and Infrastructure Design: Lead the design and architecture of scalable, high-performance data systems capable of storing and processing vast amounts of transactional data, user behavior logs, market data, and trading activity. Ensure systems are highly available and optimized for low-latency access.
  • Real-Time Data Processing: Architect and implement systems that handle high-throughput, real-time data streams from cryptocurrency transactions, market feeds, and user activities on the platform. Ensure data is ingested and processed with minimal delay to allow for timely decision-making and trading execution.
  • Data Integration and Management: Design and implement robust systems for ingesting, storing, and integrating data from various sources, including transaction data, user logs, trading activity, and external data feeds such as market data or news sources. Normalize and organize this data to support analytics and business intelligence needs.
  • User and Transaction Data Storage: Develop strategies for storing large volumes of user behavior data (e.g., transaction history, trading patterns, login activity) and transaction data (e.g., order books, trades, withdrawals). Ensure that data is accessible in a fast, secure, and cost-effective manner.
  • Data Governance, Quality, and Compliance: Establish strong data governance practices to ensure data integrity, quality, and compliance with regulations (e.g., GDPR, CCPA, AML/KYC requirements). Implement data validation, cleansing, and auditing processes to maintain high-quality and reliable datasets.
  • Cost Optimization: Design systems that balance performance with cost-efficiency, using techniques such as sharding, data partitioning, and compression. Ensure that the data infrastructure scales without unnecessary expense as the business grows.
  • Leadership and Team Management: Lead and mentor a team of data engineers, driving best practices, performance standards, and fostering a collaborative culture. Provide guidance and career development to help team members grow professionally.
  • Cross-Department Collaboration: Work closely with product, marketing, research, security, and compliance teams to ensure that data infrastructure meets the diverse needs of the business. Facilitate the development of analytical frameworks that support product innovation, user behavior analysis, and regulatory compliance.
  • Technology Evaluation and Selection: Continuously evaluate emerging data technologies, ensuring that the organization uses the most effective tools for managing transaction and user data. Ensure that the data infrastructure is aligned with the company's strategic goals and technical requirements.

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