Data Architect
Digital Hub, SG
ST Engineering
At ST Engineering, we harness technology and innovation to enable a more secure and sustainable world. Discover our innovations for smart cities, defence and security.
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
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- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Data governance Data Warehousing dbt Engineering GCP Kafka Machine Learning Pipelines Privacy Security Unstructured data
Perks/benefits: Career development
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