Lead Data Engineering / Platform Ops
Job Purpose: We are looking for a Lead Data Engineering / Platform Ops professional to own and operate RAKBANK’s enterprise data platform.
Skills
About This Role
Job Purpose
We are looking for a Lead Data Engineering / Platform Ops professional to own and operate RAKBANK’s enterprise data platform.
You will lead the engineering of scalable data pipelines and ensure the platform delivers reliable, secure, and high-performance data to power analytics, AI, and regulatory reporting across the bank.
What You’ll Do
- Design and operate batch & real-time data pipelines (ADF, Kafka/CDC)
- Build and manage the Databricks lakehouse platform (bronze → gold layers)
- Own DataOps practices including CI/CD, monitoring, and incident management
- Implement data governance (Unity Catalog) — security, lineage, access controls
- Develop dbt transformation models aligned to business data needs
- Manage real-time streaming (Kafka / Confluent) for operational use cases
- Drive platform reliability, SLAs, and performance optimization
- Own data platform cost optimization (FinOps)
- Collaborate with AI & analytics teams to enable advanced data products
- Lead and mentor a high-performing data engineering team
What We’re Looking For
- 10+ years in Data Engineering with leadership experience
- Strong hands-on expertise in Databricks, Azure Data Factory, Kafka/Confluent, dbt
- Experience working in banking or regulated environments preferred
- Strong understanding of data platform governance, security, and cloud cost optimization
Rakbank
- Build and scale a next-gen data platform
- Work on AI, analytics, and digital transformation initiatives
- High visibility role with direct impact on enterprise data strategy
- Opportunity to lead and grow data engineering capability
- Apply now to be part of RAKBANK’s data transformation journey.
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