Data Architect

Digital Hub, SG

ST Engineering

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Together, We Can Make A Significant Impact 

We are seeking a seasoned and forward-thinking Data Architect to lead the design and governance of our enterprise data architecture. This role requires a strong understanding of data platforms, cloud infrastructure, and integration tools, along with hands-on familiarity with platforms like Denodo, Dataiku, and media/data processing tools such as FFmpeg.

 

As a key technical leader, you will work closely with cross-functional teams to ensure the data architecture aligns with business goals and supports current and future data-driven initiatives.

 

Be Part of Our Success

  • Define and drive the organization’s enterprise data architecture strategy, standards, and best practices.
  • Design scalable, secure, and maintainable data architectures across structured, semi-structured, and unstructured data sources.
  • Provide architectural leadership in the implementation of data virtualization solutions using Denodo.
  • Enable advanced analytics and machine learning workflows through platforms like Dataiku, ensuring integration and performance across data environments.
  • Architect and optimize pipelines for handling multimedia content, including video/audio processing using tools such as FFmpeg or similar.
  • Lead data modeling, metadata management, and data governance efforts.
  • Collaborate with data engineers, developers, analysts, and business stakeholders to translate requirements into robust data architecture solutions.
  • Evaluate and recommend new tools, technologies, and frameworks that align with business and technical needs.
  • Ensure compliance with data security and privacy regulations.

 

Qualities We Value

    • 6+ years of experience in data engineering/architecture roles, with a strong foundation in enterprise data systems.
    • Proven experience designing and implementing data architectures in complex, large-scale environments.
    • Strong hands-on experience with Denodo (or equivalent data virtualization platforms).
    • Familiarity with Dataiku or similar advanced analytics/machine learning orchestration platforms.
    • Working knowledge of FFmpeg for media processing pipelines, or comparable experience with multimedia data handling.
    • Deep expertise in data modeling, data warehousing, and data integration patterns.
    • Solid understanding of cloud data platforms (AWS/GCP/Azure) and modern data stack tools (e.g., dbt, Kafka, Airflow).
    • Strong problem-solving and communication skills, with the ability to bridge business and technical conversations.

 

Our Commitment That Goes Beyond the Norm

  • An environment where you will be working on cutting-edge technologies and architectures.
  • Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
  • Meaningful work and projects that make a difference in people’s lives.
  • A fun, passionate and collaborative workplace.
  • Competitive remuneration and comprehensive benefits.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Architecture Jobs

Tags: Airflow Architecture AWS Azure Data governance Data Warehousing dbt Engineering GCP Kafka Machine Learning Pipelines Privacy Security Unstructured data

Perks/benefits: Career development

Region: Asia/Pacific
Country: Singapore

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