Solution Architect

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

• Minimum 10 years of relevant 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 Government-Commercial-Cloud (GCC) environments.
• Architecture - Minimum 10 years' experience in Solution Architecture, Data Architecture or Enterprise Architecture.
• Data Platforms - Strong experience designing enterprise data platforms, lakehouses or data warehouses. Experience in GCC environments.
• Cloud & Data Technologies - Hands-on experience with Azure, Databricks, Spark, SQL and Delta Lake. Obtained relevant Databricks Certifications.
• Technical Implementation - Ability to independently develop POCs, prototypes and technical validation exercises.
• Data Engineering & Integration - Good understanding of data ingestion, ETL/ELT, APIs, data modelling and CI/CD practices.
• Governance & Security - Experience implementing data governance, metadata, lineage, data quality and access control frameworks.
• Stakeholder & Vendor Management - Experience working across business stakeholders, technical teams and external vendors.
• Communication & Problem Solving - Strong analytical, documentation and communication skills with the ability to translate business requirements into practical technical solutions.

Solution Architect

Experience

:[

• Minimum 10 years of relevant 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 Government-Commercial-Cloud (GCC) environments.

B. Technical & Professional Competencies

Essential (Must-Have)

• Architecture - Minimum 10 years' experience in Solution Architecture, Data Architecture or Enterprise Architecture.
• Data Platforms - Strong experience designing enterprise data platforms, lakehouses or data warehouses. Experience in GCC environments.
• Cloud & Data Technologies - Hands-on experience with Azure, Databricks, Spark, SQL and Delta Lake. Obtained relevant Databricks Certifications.
• Technical Implementation - Ability to independently develop POCs, prototypes and technical validation exercises.
• Data Engineering & Integration - Good understanding of data ingestion, ETL/ELT, APIs, data modelling and CI/CD practices.
• Governance & Security - Experience implementing data governance, metadata, lineage, data quality and access control frameworks.
• Stakeholder & Vendor Management - Experience working across business stakeholders, technical teams and external vendors.
• Communication & Problem Solving - Strong analytical, documentation and communication skills with the ability to translate business requirements into practical technical solutions.

Preferred (Advantageous)

• Microsoft Azure Solutions Architect Expert.
• DAMA CDMP certification.
• TOGAF certification.
• Experience with AI/GenAI platforms and implementations