Solution Architect [Data & Analytics] at TALENTSIS PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

17 Sep, 25

Salary

8000.0

Posted On

17 Jun, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Optimization Techniques, Business Understanding, Solution Architecture, Azure, Aws, Cloud Services, Management Skills, Processing

Industry

Information Technology/IT

Description

REQUIREMENTS:

  • 6+ years of experience in solution architecture, systems integration, or enterprise architecture roles.
  • Demonstrated experience in designing and implementing solutions using:
    o Denodo or other data virtualization platforms
    o Dataiku or similar analytics/data science platforms

o 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.

Location: Ang Mo Kio
(EA Reg No: 20C0312)
Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.
Only shortlisted candidates will be notified

Responsibilities
  • 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.
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