Senior Data Technical Lead

IBM; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A global technology and consulting company is seeking a seasoned System Engineering Lead in Singapore. You will guide a team of engineers, oversee operational support for data platforms, and ensure compliance with security policies. The ideal candidate has over 7 years of experience, strong leadership capabilities, and a deep understanding of data integration and visualization tools. This role emphasizes continuous improvement and collaboration to drive impactful change.

Qualifications

• 7+ years of experience in system engineering or related fields.
• Hands-on experience with data integration and visualization tools.
• Strong understanding of on-premise systems and data governance.

Responsibilities

• Lead team of system engineers, providing technical guidance.
• Oversee operations of data platforms ensuring high availability.
• Manage change requests and drive root cause analysis for incidents.
• Identify process optimizations to reduce costs and improve efficiency.

Skills

Team leadership

System engineering

Data integration

Data visualization

Graph database understanding

Problem-solving

Communication skills

Tools

Informatica

Talend

QlikSense

Qlik NPrinting

MicroStrategy

Neo4j

Job description

Overview

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

Leadership & Team Management

• Lead a team of system engineers, providing technical guidance, mentorship, and performance management.
• Foster a culture of continuous improvement, knowledge sharing, and collaboration within the team.

Operational Support & Maintenance

• Oversee Day-2 operations of DS/AI Platforms, including:
• Data Discovery & Visualization
• Data Integration
• Graph Analytics
• Ensure high availability, reliability, and security of production systems.
• Manage user onboarding/offboarding processes, patch installations, and system administrative tasks.

Incident & Change Management

• Oversee the handling of Change Requests (CRs) and Service Requests (SRs).
• Drive root cause analysis for incidents, implement corrective actions, and prevent recurrences.

Optimization & Enhancements

• Identify and propose process/technology optimizations to reduce operating costs and improve efficiency.
• Lead minor enhancements to systems, ensuring they align with business needs and security compliance.

Compliance & Security

• Ensure systems adhere to relevant regulations (e.g., PDPA, IM8) and internal security policies.
• Collaborate with security teams to maintain compliance for air-gapped or sensitive systems.

Technical Skills

Required technical and professional expertise

• 7+ years of experience in system engineering, data platforms, or related fields.
• Hands-on experience with at least one of these categories of tools:
• Data Integration Tools: Informatica, Talend
• Visualization Tools: QlikSense, Qlik NPrinting, MicroStrategy
• Graph Databases: Neo4j
• Strong understanding of on-premise systems.
• Knowledge of data governance, metadata management, and security best practices.

Leadership & Soft Skills

• Demonstrated ability to lead and develop a team of engineers.
• Strong problem-solving skills with an analytical mindset.
• Excellent communication, stakeholder management, and documentation skills.

Preferred Technical And Professional Experience

• Experience with air-gapped or highly secure environments.
• Knowledge of AI/ML platforms (e.g., TensorFlow, PyTorch) and MLOps practices.