Data Architect

Datamatics Technologies

Islamabad, 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.
  • Implement and enforce data governance, data quality, and data security frameworks using tools such as Collibra, Alation, and Apache Atlas.

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
  • Data warehousing and lakehouse architectures
  • 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 or related roles
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field
  • Familiarity with banking data domains (risk, compliance, fraud, customer analytics)

Work Rights

Not specified

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