Job Openings G01 - Solution Architect

About the job G01 - Solution Architect

Responsibilities

  • Responsible for the end-to-end architecture for a system and ensures the detailed design and development is aligned with the needs of data users
  • Translate business requirements, including application resiliency requirements, into application architectural specifications
  • Design the architecture blueprint of the organisation's business, information and ICT assets, by using multiple architectural models, syncing together a front-end data visualisation platform, with a back-end cloud data lakehouse infastructure.
  • Review source codes and solutions as part of the software development lifecycle process

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology or related technical field; Master's degree preferred
  • Professional certifications in cloud platforms (AWS/Azure) and data engineering certifications (e.g., Databricks, Snowflake) are advantageous

Technical Experience:

  • Minimum 7 years of enterprise software development experience, including 3+ years leading technical teams and architecting data-intensive solutions
  • Strong expertise in designing and implementing cloud-native data platforms and pipelines using modern tools like Apache Spark, Airflow, or Azure Data Factory
  • Proven experience with cloud-based data platforms, including data warehouses (Redshift, BigQuery) and lakehouse solutions (Databricks, Delta Lake).
  • Advanced knowledge of both traditional and cloud-native ETL/ELT processes
  • Deep understanding of real-time and batch data processing architectures
  • Experience working with geospatial data, including spatial databases (PostGIS, Azure Cosmos DB with spatial features) and GIS tools.
  • Experience integrating geospatial APIs (e.g., Azure Maps, ESRI ArcGIS) into cloud-based data architectures.
  • Knowledge of 3D data structures and processing pipelines, including formats such as CityGML, 3D Tiles, LAS/LAZ.

Data Architecture

  • Experience implementing comprehensive Role-Based Access Control (RBAC) systems across multi-tenant data platforms
  • Proven track record in designing and implementing data frameworks including data lineage, metadata management, and data quality controls
  • Experience with data masking, encryption, and other data protection mechanisms
  • Knowledge of implementing column-level security and row-level security in database systems
  • Understanding of regulatory compliance requirements (PDPA, GDPR) and their implementation in data architectures
  • Experience implementing end-to-end encryption strategies (e.g., Azure Key Vault, TDE, Always Encrypted) for cloud data lakes and databases.
  • Strong understanding of data security for SFTP, including TLS, SSH key management, and auditing.

System Design & Integration:

  • Expertise in designing scalable data integration patterns and implementing data mesh architectures
  • Experience with streaming data platforms (Kafka, Event Hubs) and real-time analytics
  • Strong background in API security and authentication mechanisms for data access
  • Proven ability to design and implement data cataloguing and discovery solutions
  • Experience with modern data observability tools and practices

Cloud & Database Expertise:

  • Deep expertise in cloud-native database solutions including:
  • Relational: Azure SQL Managed Instance" (SQL MI), Azure SQL, Cloud SQL
  • NoSQL: MongoDB, Cosmos DB, DynamoDB
  • Analytics: Redshift, BigQuery, Synapse
  • Experience optimising database performance and implementing auto-scaling solutions
  • Knowledge of database backup, disaster recovery, and high availability configurations
  • Understanding of data migration strategies and tools
  • Experience integrating Azure Data Factory (ADF) with Databricks and ADLS for end-to-end ETL workflows.
  • Experience optimizing Azure Synapse Analytics for large-scale data processing.
    Project Leadership:
  • Successfully delivered at least 3 enterprise-scale data platform projects
  • Experience leading data architecture modernisation initiatives
  • Proven track record in stakeholder management across data owners, engineers, and business users
  • Ability to develop and maintain data architecture roadmaps

Technical Leadership:

  • Experience designing microservices architectures with focus on data security
  • Strong understanding of DevSecOps practices for data platforms
  • Expertise in implementing CI/CD pipelines for database changes and data pipeline deployments
  • Knowledge of infrastructure as code (Terraform, CloudFormation) for data platform components
    Soft Skills:
  • Excellent communication skills in explaining complex data architectures to various stakeholders
  • Strong analytical mindset with ability to balance security and usability requirements
  • Experience in building and leading data engineering teams
  • Proven ability to collaborate with data scientists, analysts, and business intelligence teams

Additional Desirable Skills:

  • Experience with data quality monitoring and validation frameworks
  • Knowledge of ML Ops and AI model deployment in production
  • Understanding of data mesh principles and domain-driven design
  • Experience with data contract management and API versioning
  • Familiarity with modern data stack tools and emerging technologies in the data space

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