Deskripsi Pekerjaan
Chinasoft International Technology Service is seeking a high-caliber Data Solution Architect (Presales) to lead enterprise data platform modernization initiatives for premier financial institutions across Malaysia. This client-facing role combines technical expertise with strategic commercial acumen to drive digital transformation initiatives.
As a key technical leader, you will partner with regional sales teams to identify client pain points, architect secure data infrastructures, and craft tailored data governance strategies. You will design scalable architectures covering data lakehouses, modern data warehouses, real-time analytics, and automated governance workflows tailored to the regulatory landscape of the financial sector.
This role provides an outstanding opportunity to shape modernization journeys for major financial institutions while driving high-value enterprise consulting engagements.
Tanggung Jawab
- Lead technical presales activities, discovery sessions, architectural demonstrations, and client workshops for enterprise prospects.
- Architect scalable end-to-end data platforms incorporating cloud data warehouses, lakehouses, streaming pipelines, and integration layers.
- Design enterprise data governance, data security, lineage, and cataloging frameworks compliant with financial regulatory guidelines.
- Draft comprehensive technical proposals, Requests for Proposals (RFPs), and Statements of Work (SOWs).
- Conduct proof-of-concept (PoC) implementations to validate architectural viability for target clients.
- Collaborate with delivery and project management teams to ensure a seamless transition from presales design to project execution.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related discipline.
- Minimum 7 years of experience in data architecture, data engineering, or technical presales roles.
- Demonstrated experience designing enterprise data solutions for the banking or financial services industry (FSI).
- Hands-on architectural proficiency with modern data platforms (Snowflake, Databricks, AWS, Azure, or Google Cloud Platform).
- Working knowledge of financial regulatory standards, data privacy laws, and compliance frameworks such as BNM RMiT and PDPA.
- Strong presentation, stakeholder management, and technical communication skills.