Senior Solution Architect - Enterprise Data & Cloud

Tech Aalto Pte ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Tech Aalto Pte ltd seeks a seasoned Solution Architect to drive enterprise-scale data platforms and lakehouses, spanning multiple workstreams and vendors. The role requires cloud-native data expertise and strong governance capabilities.

You will lead design and implementation across Azure Databricks, Spark, and Delta Lake while ensuring governance, security, and scalable data models. Collaboration with business stakeholders is essential for translating requirements into robust technical

Qualifications

• Minimum 10 years of experience in Solution Architecture, Data Architecture or Enterprise Architecture.
• Proven experience delivering enterprise-scale data platforms, lakehouses or analytics platforms.
• Experience leading architecture across multiple workstreams and vendors.
• Experience working with cloud-native data and AI platforms.
• Experience working with Azure Databricks and GCC environments.
• Hands-on experience with Azure, Databricks, Spark, SQL and Delta Lake; Databricks Certifications preferred.
• Ability to independently develop POCs, prototypes and technical validations.
• Strong data ingestion, ETL/ELT, APIs, data modelling and CI/CD practices.
• Experience implementing data governance, metadata, lineage, data quality and access control frameworks.
• Experience working with stakeholders and external vendors.
• Strong analytical, documentation and communication skills.

Skills

Solution Architecture

Data Architecture

Enterprise Architecture

Stakeholder Management

Communication

Problem Solving

Data Governance

CI/CD

Data Modeling

Tools

Azure Databricks

GCC environments

Job description

Tech Aalto Pte ltd seeks a seasoned Solution Architect to drive enterprise-scale data platforms and lakehouses, spanning multiple workstreams and vendors. The role requires cloud-native data expertise and strong governance capabilities.

You will lead design and implementation across Azure Databricks, Spark, and Delta Lake while ensuring governance, security, and scalable data models. Collaboration with business stakeholders is essential for translating requirements into robust technical