Solution Architect (Data Analytics)
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 looking for a visionary and hands-on Solution Architect to design and lead the implementation of data-driven solutions that leverage platforms like Denodo, Dataiku, and media processing tools such as FFmpeg. This role demands a strong grasp of enterprise data ecosystems, analytics enablement, and solution delivery across cloud and on-prem environments.
You will work closely with business leaders, technical teams, and external partners to architect scalable, secure, and efficient solutions that support data integration, virtualization, analytics, and multimedia processing use cases.
Be Part of Our Success
- Architect end-to-end solutions that meet both business and technical requirements, with a focus on data virtualization, advanced analytics, and media workflows.
- Lead solution design involving tools such as Denodo, Dataiku, and FFmpeg, ensuring interoperability, performance, and scalability.
- Translate business needs into technical architecture and solution blueprints across data ingestion, transformation, modeling, and visualization layers.
- Collaborate with Data Engineers, Architects, Developers, and Stakeholders to drive the successful implementation of solutions.
- Conduct solution assessments, identify risks and gaps, and propose technical alternatives where needed.
- Support pre-sales or early engagement discussions with clients/stakeholders where solution design is required.
- Provide governance, review, and guidance on ongoing project delivery to ensure adherence to architecture principles and standards.
- Stay current on emerging technologies and trends in data, AI/ML, and media processing, and evaluate their potential fit.
Qualities We Value
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- 6+ years of experience in solution architecture, systems integration, or enterprise architecture roles.
- Demonstrated experience in designing and implementing solutions using:
- Denodo or other data virtualization platforms
- Dataiku or similar analytics/data science platforms
- FFmpeg or tools for multimedia data ingestion and processing
- Solid knowledge of data platforms (e.g., data warehouses, data lakes), cloud services (AWS, GCP, or Azure), and modern data stacks.
- Strong understanding of data integration patterns, API design, and performance optimization techniques.
- Ability to balance technical depth with business understanding to recommend pragmatic solutions.
- Excellent communication and stakeholder management skills, with the ability to present to both technical and non-technical audiences.
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: APIs Architecture AWS Azure Data Analytics GCP Machine Learning
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