Job Description

We are seeking an experienced Azure Data Architect to design comprehensive data solutions for our telecom and fintech operations. This strategic role will shape our cloud data infrastructure, ensuring scalability, security, and performance while supporting millions of customer interactions and transactions daily.

Key Responsibilities

• Design end-to-end data architecture solutions for telecom and fintech platforms using Azure services
• Define data standards, best practices, and governance frameworks for sensitive telecom and financial data
• Architect solutions for high-volume, real-time data processing (network events, transactions, customer interactions)
• Design data models for customer 360, network analytics, fraud detection, and financial reporting
• Lead technical architecture discussions and provide guidance on complex data challenges
• Ensure data security, privacy, and compliance with telecom and financial regulations
• Collaborate with stakeholders across telecom and fintech divisions to align architecture with business strategy
• Mentor data engineers and provide technical leadership

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field
• 7+ years of experience in data architecture, data engineering, or related roles
• Deep expertise in Azure data services ecosystem (Synapse, Data Factory, Databricks, Data Lake, Fabric)
• Strong knowledge of data warehousing, data lakes, and modern data architectures
• Proven experience designing scalable, enterprise-grade data solutions
• Expertise in data modeling, ETL design, and integration patterns
• Excellent stakeholder management and presentation skills
• Fluency in English

Preferred Qualifications

• Experience in telecom industry with network data architectures
• Experience in fintech or banking with payment systems and transaction architectures
• Azure Solutions Architect Expert or Azure Data Engineer Associate certification
• Knowledge of PCI-DSS, GDPR, and financial services regulations
• Experience with real-time streaming architectures for high-volume data