Senior Data & AI Solutions Architect

basil technologies pte. ltd.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Basil Technologies Pte. Ltd. in Singapore is seeking a Senior Solution Architect – Data & AI to lead end-to-end architecture for enterprise Data & AI solutions, from client engagement and proposal development through to delivery governance and implementation assurance.

The ideal candidate combines deep technical expertise with commercial awareness and strong delivery experience, designing data lakes, data warehouses, lakehouses and AI governance across cloud, hybrid and on-prem environments.

Qualifications

• 15+ years in technology with senior architecture delivery experience.
• Proven leadership in presales and delivery for enterprise Data & AI projects.
• Strong background in modern data platforms, cloud, analytics, AI/ML, GenAI, governance and security.
• Hands-on knowledge of data lake/warehouse/lakehouse, ETL/ELT, streaming, metadata and data quality.
• Experience with cloud/data platforms such as AWS, Azure, Google Cloud, Databricks, Snowflake, Synapse.

Responsibilities

• Lead Data & AI solution architecture for RFPs and client engagements.
• Design enterprise Data & AI architectures across cloud, hybrid and on-premises.
• Define architecture across data, AI, integration, security and governance.
• Develop high-level estimates and delivery roadmaps.
• Guide engineers and delivery teams; perform architecture reviews.
• Translate requirements into viable proposals with stakeholders.

Skills

Solution architecture

Data architecture

AI architecture

Presales experience

Delivery leadership

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, AI, Software Engineering

Tools

AWS

Azure

Google Cloud

Databricks

Snowflake

Microsoft Fabric

Synapse

BigQuery

Job description

Basil Technologies Pte. Ltd. in Singapore is seeking a Senior Solution Architect – Data & AI to lead end-to-end architecture for enterprise Data & AI solutions, from client engagement and proposal development through to delivery governance and implementation assurance.

The ideal candidate combines deep technical expertise with commercial awareness and strong delivery experience, designing data lakes, data warehouses, lakehouses and AI governance across cloud, hybrid and on-prem environments.