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Data Platform Team Lead

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Onsite

Data Platform Team Lead

Hytech

Data Platform Team Lead

Skills

Big DataKafkaDatabricksAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

18 September 2026

What they need


About Us

Hytech is a global management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We empower our clients with comprehensive consulting solutions and robust middle- and back-office support, enabling streamlined operations and forward-thinking strategies.

With a team of over 2,000 professionals, Hytech serves a diverse portfolio of clients, including the world's second-largest CFD trading platform and several leading cryptocurrency exchanges. Our global presence spans across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, and more.

Key Responsibilities

  • Lead the Big Data Platform team, define technical strategy and roadmap, and drive the delivery of key projects.
  • Own the overall architecture and evolution of the data platform, covering batch and real-time processing, data development, data services, and related platform capabilities.
  • Drive the development and implementation of a comprehensive data governance framework, including data quality, metadata management, data lineage, data security, and data standards.
  • Drive the practical implementation of AI / Large Language Model (LLM) capabilities across data platforms, data governance, data development, and other relevant use cases.
  • Lead technical solution reviews, technology selection, and the resolution of complex technical challenges.

Requirements

  • Proven experience managing a technical team with strong team leadership and project execution capabilities.
  • Strong expertise in Big Data platform architecture and backend architecture , with hands-on experience building large-scale platforms.
  • Strong understanding and practical experience in data governance , including data quality, metadata, data lineage, data security, and data warehouse standards.
  • Proficiency in mainstream Big Data technologies such as Flink, Spark, Kafka, Databricks, StarRocks/Doris , etc.
  • Proven experience delivering AI / LLM projects in production , with familiarity with technologies such as AI Agents, RAG, Embeddings, and LLM applications .
  • Strong technical judgment, architecture design capabilities, and the ability to drive cross-functional collaboration and execution.

Nice to Have

  • Experience building data platforms or data governance platforms from 0 to 1 .
  • Experience in financial services, internet technology, or large-scale real-time data environments.
  • Proven experience implementing AI + Data Platform or AI + Data Governance solutions in real-world production environments.

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