Company Overview
Established in 2010, Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Serving global clients, Vinova delivers projects in IoT, blockchain, fintech, networking, and ecommerce with a focus on quality, flexibility, and speed.
Job Summary
The Solution Architect will design and lead the development of scalable, secure data architectures supporting diverse data types and AI/ML workloads, ensuring robust governance and enabling advanced analytics for large-scale platforms.
Responsibilities
- Design end-to-end data architecture for the platform, including medallion layers (bronze/silver/gold), semantic layer, and business analytics layer to support scalable data processing and insights.
- Define data models, data contracts, and governance frameworks to ensure data quality, consistency, and compliance across the core platform.
- Own schema design and data warehouse architecture decisions to optimize storage, retrieval, and performance.
- Architect ingestion pipelines for diverse data types such as IoT/telemetry, CCTV, and building system logs to enable comprehensive data integration.
- Collaborate with partners to specify interface frameworks for inbound and outbound data sources, ensuring seamless data exchange.
- Define and enforce governed access patterns for downstream consumers including dashboards, APIs, and AI tools, coordinating with security teams to implement access controls and audit logging.
- Analyze available data to generate hypotheses for data science and machine learning use cases, guiding data collection and architecture strategies.
- Ensure foundational data architecture supports continuous hypothesis testing, MLOps pipelines, and iterative use case development.
- Document key architectural and technical decisions with clear rationale and trade-offs to maintain transparency and knowledge transfer.
- Mentor and collaborate with internal teams to progressively build architecture and design capabilities.
Required competencies and certifications
- Degree in Computer Science, Engineering, or related field.
- Minimum 8 years of experience in data architecture.
- Proven ability to design and build medallion data architectures and semantic layers from inception.
- Hands-on experience delivering data platforms on AWS using mainstream lakehouse or data warehouse platforms such as Databricks or Snowflake.
- Expertise in defining data contracts, governance frameworks, and schema design for large-scale platforms, including implementing automated data quality controls.
- Experience leading architecture for national or large-scale complex data platforms, serving as lead architect for most of the project duration.
- Demonstrated delivery of comparable data platform projects internationally at city-level or above, beyond the Singapore market.
- Familiarity with ingesting diverse data types including IoT/telemetry, system logs, and image/video data.
Preferred competencies and qualifications
- Experience with robotics data formats and ingestion/processing of sensor or field-equipment data streams.
- Experience designing data infrastructure to support GenAI workloads, including AI-ready architecture for large language models or retrieval-augmented generation use cases.
