Position Overview

The Architect will design scalable data and analytics infrastructure supporting fintech applications, financial intelligence, customer analytics, risk systems, and business decision-making.

The position combines data architecture, cloud infrastructure, data engineering, analytics, real-time processing, and financial technology. The successful candidate will establish reliable data foundations capable of processing large volumes of transactional, customer, market, and operational information.

Key Responsibilities

• Design enterprise-grade data architectures for fintech and financial-services platforms.
• Develop frameworks for collecting, processing, storing, and distributing financial data.
• Design scalable data lakes, warehouses, and analytics environments.
• Establish real-time and batch data-processing architectures.
• Define data models supporting transactions, customers, products, risk, and financial reporting.
• Develop data-governance and data-quality architecture.
• Work with data engineers to build reliable and scalable pipelines.
• Design APIs and data services for internal and external financial applications.
• Establish architecture for business-intelligence and analytical platforms.
• Support machine-learning teams with reliable data infrastructure.
• Implement cloud-based data architectures and distributed processing systems.
• Establish monitoring and observability for critical data pipelines.
• Design security and access-control frameworks for sensitive financial information.
• Evaluate emerging data technologies and recommend appropriate solutions.
• Produce architecture documentation, technical standards, and implementation roadmaps.

Preferred Expertise

• Data architecture
• Data engineering
• Cloud computing
• Data lakes and warehouses
• ETL/ELT
• Real-time data processing
• Financial data
• Analytics platforms
• API architecture
• Data governance
• Machine-learning infrastructure

Candidate Profile

Candidates should have significant experience in data architecture, data engineering, cloud technology, analytics platforms, banking technology, or fintech infrastructure. Strong knowledge of distributed data systems and financial-data environments is highly advantageous.

Are you interested in this position?

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