Data Architect

Datamatics Technologies

Karachi, Pakistan
On-site
Big data technologies (hadoop, spark, kafka)
Cloud platforms (aws, azure, gcp)
Data modeling and database design
Design and implement enterprise data architecture across traditional systems, Big Data platforms, and cloud ecosystems

Job Summary

  • Design and implement enterprise data architecture across traditional systems, Big Data platforms, and cloud ecosystems.
  • Enable AI/ML use cases by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.
  • Ensure compliance with banking regulations, data privacy laws, and security standards.

Matching Summary

Design and implement enterprise data architecture across traditional systems, Big Data platforms, and cloud ecosystems.

Skills & Requirements

Must-have

  • Big Data technologies (Hadoop, Spark, Kafka)
  • Cloud platforms (AWS, Azure, GCP)
  • Data modeling and database design
  • AI/ML data pipelines and frameworks
  • ETL/ELT tools and data pipeline orchestration
  • Data governance, metadata management, data quality

Nice-to-have

  • Real-time streaming architectures
  • Regulatory frameworks (Basel III, GDPR)
  • Data Mesh or Data Fabric architectures
  • API-based data integration
  • Microservices architecture

Key Requirements

  • 9+ years of experience in data architecture
  • Bachelor's or Master's degree in Computer Science or related field
  • Familiarity with banking data domains

Work Rights

Not specified

Tailored Resume

Cover Letter