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Skills Required

data databricks kafka management architecture agile scrum mlflow connect azure aws integration informatica oracle erp governance engineering processing ml security

Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a results-driven Data Project Manager (PM) to lead data initiatives leveraging Databricks and Confluent Kafka in a regulated banking environment


  • 10+ years of experience in Project Management within the banking or financial services sector.
  • Proven experience leading data platform projects (especially Databricks and Confluent Kafka).
  • Strong understanding of data architecture, data pipelines, and streaming technologies.
  • Experience managing cross-functional teams (onshore/offshore).
  • Strong command of Agile/Scrum and Waterfall methodologies.
  • Databricks (Delta Lake, MLflow, Spark)
  • Confluent Kafka (Kafka Connect, kSQL, Schema Registry)
  • Azure or AWS Cloud Platforms (preferably Azure)
  • Integration tools (Informatica, Data Factory), CI/CD pipelines
  • Oracle ERP Implementation experience
  • PMP / Prince2 / Scrum Master certification
  • Familiarity with regulatory frameworks: BCBS 239, GDPR, CBUAE regulations
  • Strong understanding of data governance principles (e.g., DAMA-DMBOK)
  • Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field.
  • Oversee solution delivery on Databricks (for data processing, ML pipelines, analytics).
  • Manage real-time data streaming pipelines via Confluent Kafka.
  • Ensure alignment with data governance, security, and regulatory frameworks (e.g., GDPR, CBUAE, BCBS 239).

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