Total 2 software architect job vacancies in Singapore

Role Summary:

As a Principal Software Engineer on our team, you’ll play a key role in supporting our digital transformation journey as a senior specialist in our development team to build and implement large-scale applications involving APIs and UIs that will be leveraged across the business. You’ll be both hands-on and strategic, diving deep into code to define system behavior, and establishing technical roadmaps that you and the developers on your team will act upon to deliver quality and scalable software solutions. You will also have the opportunity to directly engage with senior leadership as you communicate back and forth with the business to ensure these software solutions align with business objectives.

Education and Experience:

• Background in computer science, information systems or bachelor’s or master’s degree in computer science, Information Technology, Computer Engineering, Software Engineering, or a related field.

• Insurance/Financial services background preferred.

Responsibilities:

• Leading proof of concept initiatives with Solution Architects as required.

• Create and maintain technical architecture documentation for solutions.

• Define development standards and tooling for the squads.

• Partner with business stakeholders to translate business requirements into consumable technical stories and software solutions.

• Participate in solutioning and estimation activities for upcoming opportunities.

• Mentor a team of software developers to build quality software solutions aligned to architecture guidelines.

• Deep dive on technical solutioning or troubleshooting with the Tech Leads and Squads as required.

• Provide debriefing and support to Tech Leads and Developers on POCs that are being handed over to Sprints for full implementation.

Functional Competencies:

• Able to provide technical excellence while embracing flexibility over building “bulletproof” systems.

• Passionate learner who keeps up with evolving technologies and is willing to experiment to test what would work for the business.

• Experience in or willingness to learn Agile methodology and working in a cross functional team.

Technical Competencies:

• 15+ years of hands-on, full-stack development experience building high performance, scalable and reliable software applications using Java and Microsoft technology stacks.

• Experience in Angular for front-end development including Single Page Application and Micro-Frontends.

• Deep understanding of SQL Server, including database design models, database performance optimization and the ability to develop and maintain PL/SQL Packages, Stored Procedures, Triggers, and Functions in SQL Server

• Demonstrated experience developing REST based APIs using Microservice architecture, Open API Specification and/or creating specifications w/Swagger.

• Experience in containerizing applications using Docker & Kubernetes

• Previous experience with cloud solutions (Azure preferred) along with experience configuring DevOps/continuous integration and continuous deployment (CI/CD) pipelines using tools such as Git, Jenkins and/or Maven.

• Experience in monitoring and logging tools such as ELK and Prometheus.

• Experience with secure SDLC and application security & compliance.

Position Overview

We are seeking a highly skilled and experienced Data Engineering Manager to lead and oversee the development, implementation, and optimization of data engineering solutions in the financial services industry. The ideal candidate will be a strategic thinker with strong technical expertise, leadership capabilities, and a passion for driving data-driven decision-making in a dynamic environment.

Key Responsibilities

• Team Leadership and DevelopmentLead, mentor, and manage a team of data engineers to design, build, and maintain scalable and robust data pipelines.
  Foster a culture of innovation, collaboration, and continuous learning within the team.
  
• Data Infrastructure and ArchitectureDesign and implement end-to-end data architectures, including data acquisition, transformation, storage, and distribution.
  Collaborate with data architects to ensure alignment with enterprise-wide data strategies and compliance requirements.
  Optimize existing data systems and build new data models that support financial analytics, reporting, and machine learning initiatives.
  
• Collaboration and Stakeholder ManagementPartner with cross-functional teams, including business analysts, data scientists, and IT teams, to deliver data solutions aligned with business goals.
  Work closely with compliance and risk management teams to ensure adherence to industry regulations (e.g., GDPR, CCPA, or PCI-DSS).
  
• Innovation and Best PracticesStay updated on the latest trends and technologies in data engineering and apply them to enhance the organization’s capabilities.
  Establish and promote best practices for data engineering, including version control, testing, and documentation.
  
• Project Management and DeliveryOversee multiple data engineering projects, ensuring timely delivery and quality assurance.
  Manage project budgets, timelines, and resources efficiently.
  

Qualifications and Skills

Educational Background

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience

• 7+ years of experience in data engineering, with at least 3 years in a leadership or management role.
• Proven experience in the financial services industry, with a strong understanding of data requirements and challenges specific to the sector.

Technical Skills

• Expertise in designing and implementing data pipelines using tools such as Apache Spark, Kafka, Airflow, or similar.
• Strong proficiency in SQL, Python, Java, or Scala for data processing.
• Experience with cloud platforms like AWS, Azure, or Google Cloud, including data-related services (e.g., Redshift, BigQuery, Databricks).
• Solid understanding of ETL/ELT processes, data warehousing, and big data technologies.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Jenkins).

Soft Skills

• Strong leadership and team management capabilities.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-solving mindset with a focus on delivering practical and scalable solutions.

Preferred Qualifications

• Experience with financial data, risk modeling, or compliance-related data engineering.
• Knowledge of data governance frameworks and data quality best practices.
• Certifications in cloud technologies (AWS Certified Data Analytics, Azure Data Engineer, etc.).