Infrastructure / Systems Specialist (Big Data Platform)

TANGSPAC CONSULTING PTE LTD; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading consulting firm in Singapore is seeking a Big Data Infrastructure Specialist to design and implement enterprise-grade data platforms. This role involves ensuring the data infrastructure is scalable, secure, and aligned with business needs. The ideal candidate should have strong hands-on experience with big data technologies and cloud-based architectures, along with excellent stakeholder management skills. Interested candidates should submit their resumes via email.

Qualifications

• Hands-on experience with big data platforms.
• Deep understanding of distributed systems.
• Experience with cloud-based architectures.
• Solid knowledge of data security and governance.
• Familiarity with DevOps and DataOps practices.
• Strong background in data architecture and pipelines.
• Excellent communication and stakeholder management skills.

Responsibilities

• Architect and design enterprise-grade big data platforms.
• Implement distributed data systems to support high-volume workloads.
• Define data infrastructure standards and best practices.
• Collaborate to deliver high-performance data solutions.
• Optimise data pipelines and cluster performance.
• Ensure platform security and compliance.
• Evaluate emerging technologies for data infrastructure.
• Provide architectural leadership in data projects.
• Oversee operational reliability and disaster recovery.

Skills

Experience with big data platforms (Hadoop, Spark, Kafka, Flink)

Understanding of distributed systems

Experience with cloud architectures (AWS, Azure, GCP)

Knowledge of data security and compliance

Familiarity with DevOps practices

Skills in ETL/ELT pipelines

Excellent communication skills

Tools

Hadoop

Spark

Kafka

Flink

AWS

Azure

GCP

Kubernetes

Job description

The Big Data Infrastructure Specialist will be responsible for end‑to‑end design, engineering guidance, and platform governance across our enterprise data ecosystem. You will shape the bank’s next‑generation data infrastructure, ensuring it is scalable, secure, resilient, and aligned with business and regulatory needs.

• Architect and design enterprise‑grade big data platforms, including compute, storage, ingestion, and processing layers.

• Lead the implementation of distributed data systems (Hadoop, Spark, Kafka, Flink, etc.) to support high‑volume, high‑velocity workloads.
• Define data infrastructure standards and best practices, ensuring consistency across all business units.
• Collaborate with data engineering, analytics, and application teams to deliver robust, high‑performance data solutions.
• Optimise data pipelines and cluster performance, including resource management, tuning, and workload orchestration.
• Ensure platform security, compliance, and governance, aligned to banking regulations and internal risk frameworks.
• Evaluate emerging technologies and drive adoption of modern data infrastructure tools and architectures.
• Provide architectural leadership in projects involving data lake modernisation, cloud migration, and real‑time data streaming.
• Oversee operational reliability, including monitoring, observability, disaster recovery, and capacity planning.

Requirements

• Strong hands‑on experience with big data platforms such as Hadoop, Spark, Hive, HBase, Kafka, Flink, or similar.
• Deep understanding of distributed systems, cluster management, and large‑scale data processing.
• Experience with cloud‑based data architectures (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Solid knowledge of data security, encryption, IAM, and governance frameworks, especially in regulated industries.
• Familiarity with DevOps and DataOps practices, CI/CD, automation, and infrastructure‑as‑code.
• Strong background in data architecture, ETL/ELT pipelines, and real‑time streaming.
• Excellent communication and stakeholder management skills, with the ability to influence technical direction.
• Prior experience in the banking or financial services sector is highly preferred.
  Interested candidates please email your latest resume to [e-mail]