Data Architect III

JPMorganChase; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

JPMorganChase in Singapore is seeking a Data Architect to develop high-quality data architecture solutions. You will be part of a dynamic team focused on enhancing infrastructure platforms while collaborating with various business functions.

Ideal candidates will possess a Bachelor's Degree in Computer Science or related fields, coupled with 3+ years of experience in data architecture. Strong skills in coding, AI capabilities, and a solid understanding of modern programming languages are essential.

Qualifications

• 3+ years of applied experience in data architecture.
• Hands-on experience in software design and testing.
• Strong coding skills in modern programming languages.
• Working knowledge of application's SDLC execution.

Responsibilities

• Execute data architecture solutions and troubleshooting.
• Lead evaluation of new technologies for data architecture.
• Produce high-quality production code and maintenance.
• Contribute to data architecture communities and practices.

Skills

Data architecture development

AI capabilities

Systems design and stability

Programming languages proficiency

Agile methodologies

Education

Bachelor's Degree in Computer Science or related disciplines

Certification in data architecture concepts

Tools

Cloud technologies

AI/ML frameworks

Job description

Be a part of a dynamic team and excel in an environment that values diversity and creativity. Continue to sharpen your skills and ambition while pushing the industry forward.

Job Description

As a Data Architect at JPMorganChase within the Infrastructure Platforms, Data & Specialty Services Team, you serve as a seasoned member of a team to develop high-quality data architecture solutions for various software applications and platforms. By incorporating leading best practices and collaborating with teams of architects, you are an integral part of carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

• Executes data architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down problems
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data architecture analysis and design documentation, validating outputs and handling data according to sensitivity and security requirements.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces data architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Evaluates data architecture designs and provide feedback on recommendations.
• Represent the team in architectural governance bodies
• Leads the data architecture team in evaluating new technologies using existing data standards and framework to influence progress to modern architecture
• Gathers and analyzes large, diverse data sets to identify patterns and drive continuous improvement of data frameworks, applications, and systems
• Contributes to data architecture communities of practice and events that explore new and emerging technologies
• Applies reuse‑first, AI‑assisted practices within SDLC/toolchain routines to improve data quality checks and design validation, ensuring traceability/auditability and alignment to resiliency and security expectations.

Required Qualifications, Capabilities, And Skills

• Bachelor's Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
• Formal training or certification on data architecture concepts and 3+ years applied experience
• Strong knowledge of one or more software applications and data architecture development.
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support data architecture workflows with strong validation habits and awareness of data sensitivity.
• Ability to assess and validate AI‑assisted data architecture recommendations before adoption, escalating uncertainty and ensuring outcomes align to resiliency, security, and auditability expectations.
• Ability to evaluate current technologies to recommend ways to optimize data architecture.
• Hands‑on practical experience in system design, application development, testing and operational stability
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Knowledge of SDLC execution, including agile methodologies such as continuous integration/delivery, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., Cloud, AI/ML, mobile, etc.), including cloud technologies