Enterprise Data Lakehouse Delivery Lead

ntt singapore pte. ltd.

Singapore

On-site

SGD 180,000 - 240,000

Full time

8 days ago
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Job summary

NTT Singapore Pte. Ltd. seeks a Senior Data & Analytics Technology Delivery Manager to lead enterprise Data Lakehouse initiatives. You will drive end-to-end delivery, architectures and governance for complex, regulated environments.

You will oversee Data Engineers, BI Developers, Data Scientists and ML Engineers while coordinating cross-functional teams to ensure secure, scalable data platforms and successful production cutovers.

Qualifications

  • 10+ years' experience in Data & Analytics technology; 5+ years in senior delivery leadership.
  • Proven enterprise Data Lakehouse architecture implementation experience.
  • Strong experience with Databricks and/or Snowflake, plus Apache Spark.
  • Experience with Kafka or streaming data integration and batch data processing.

Responsibilities

  • Lead end-to-end delivery of enterprise Data Lakehouse and analytics platforms for batch, real-time, BI and AI/ML workloads.
  • Design data solutions using Data Lakehouse, Data Mesh and federated data architectures.
  • Coordinate data ingestion, transformation, APIs and analytics applications.
  • Manage dependencies across data engineering, apps, infrastructure, analytics and security teams.

Skills

Data & Analytics technology
Data Lakehouse architecture
Databricks
Snowflake
Apache Spark
Kafka
Python
SQL
Informatica
Talend
Teradata
Cloudera
Data Mesh
Data governance
MLOps
CI/CD
Kubernetes/OpenShift
Power BI
Qlik

Education

Bachelor's degree in Computer Science, Information Technology, Engineering or related discipline
Data, Cloud or Enterprise Architecture certifications advantageous

Tools

Databricks
Snowflake
Apache Spark
Kafka
Informatica
Talend
Teradata
Cloudera
Kubernetes/OpenShift
Power BI
Qlik

Job description

NTT Singapore Pte. Ltd. seeks a Senior Data & Analytics Technology Delivery Manager to lead enterprise Data Lakehouse initiatives. You will drive end-to-end delivery, architectures and governance for complex, regulated environments.

You will oversee Data Engineers, BI Developers, Data Scientists and ML Engineers while coordinating cross-functional teams to ensure secure, scalable data platforms and successful production cutovers.

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