Senior Data Platform Architect - Hadoop/Data Lake

UNISONEDGE CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

UNISONEDGE CONSULTING PTE. LTD. in Singapore seeks a seasoned Data Engineer to design, build, and operate scalable data pipelines in Enterprise Data Lake environments using Cloudera CDP, Hadoop, Spark, Hive, Java, Python, and SQL.

You will lead data ingestion, governance, and integration efforts, partnering with banking and financial services teams to deliver complex data solutions with reliability and performance. Strong stakeholder management and hands-on technical delivery are essential.

Qualifications

• Requires 10+ years of experience in enterprise data platforms.
• Proven experience managing Enterprise Data Lake, Data Warehouse or Big Data delivery initiatives.
• Banking and Financial Services experience preferred.
• Strong stakeholder management and cross-team collaboration skills.
• Experience with Hadoop/Cloudera environments and data pipelines.

Responsibilities

• Design, develop, and maintain scalable data pipelines in the Enterprise Data Lake platform using Cloudera CDP, Hadoop, Spark, Hive, Java, Python, and SQL.
• Develop high-performance batch and near real-time data ingestion frameworks for onboarding enterprise source systems into the Data Lake.
• Build and maintain data integration solutions with batch and streaming processing.
• Implement source-to-target mappings and ingestion specifications.
• Provide L3 production support and incident management for Data Lake applications.

Skills

Stakeholder management

Project delivery management

Data platform knowledge

Data engineering leadership

Banking/Financial services domain

Tools

Hadoop

Cloudera CDP

Spark

Hive

Java

Python

SQL

Kafka

YARN/Oozie

Unix/Linux scripting

Job description

UNISONEDGE CONSULTING PTE. LTD. in Singapore seeks a seasoned Data Engineer to design, build, and operate scalable data pipelines in Enterprise Data Lake environments using Cloudera CDP, Hadoop, Spark, Hive, Java, Python, and SQL.

You will lead data ingestion, governance, and integration efforts, partnering with banking and financial services teams to deliver complex data solutions with reliability and performance. Strong stakeholder management and hands-on technical delivery are essential.