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Associate Director - Data Engineering

Unknown
Riyadh, KSA
Director
Onsite
Discovered 4 days ago
Google Cloud PlatformBigQueryData pipeline developmentData lakehouse solutionsGoogle Vertex AIData Fusion

Full Job Posting

Role purpose

Design, build, and maintain data pipelines and tools that make data accessible across the organization.

Collaborate with Data Scientists, Product teams, and business stakeholders to turn business requirements into reliable solutions for a digital bank.

Key responsibilities

  • Develop and maintain BigQuery and Vertex AI lakehouse solutions, balancing performance, cost, and analytics needs.
  • Lead streaming, batch, and API data pipeline design and development.
  • Support regulatory compliance, reporting, and self-service analytics; maintain data quality, consistency, and integrity.
  • Establish pipeline monitoring, logging, and alerting; conduct code reviews and improve development processes.
  • Translate business requirements into technical solutions and enable secure data sharing through marketplaces, catalogs, and lineage.
  • Document solutions, mentor data engineers, and enforce departmental controls and information security practices.

Experience and qualifications

  • 10+ years designing and implementing data pipelines on Google Cloud or other public cloud platforms.
  • Deep expertise in Google Cloud technologies, including BigQuery, Data Fusion, Dataform, Dataflow, Cloud Composer, Dataplex, Dataproc, and Analytics Hub.
  • Strong understanding of data governance, security, compliance, and privacy by design.
  • Google Cloud Professional Data Engineer certification and a bachelor’s degree from a recognized university are listed as preferred qualifications.
  • Technical capabilities include requirements analysis and data pipeline development; behavioral capabilities include collaboration, communication, and problem solving.

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