Data Architect

Datamatics Technologies

Lahore, 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
  • AI/ML data pipelines and frameworks
  • ETL/ELT tools and data pipeline orchestration

Nice-to-have

  • Banking data domains expertise
  • Real-time streaming architectures
  • Data Mesh or Data Fabric architectures
  • API-based data integration

Key Requirements

  • 9+ years of experience in data architecture
  • Bachelor's or Master's degree in Computer Science or related field
  • Experience with data warehousing and lakehouse architectures
  • Familiarity with banking regulations

Work Rights

Not specified

Tailored Resume

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