Data Architect

Capgemini; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A global technology consulting firm in Singapore is seeking a highly experienced Data Architect to lead data strategy and architecture for enterprise initiatives. Ideal candidates will have over 15 years of experience, particularly in the banking industry. Responsibilities include designing data solutions, guiding teams, and supporting business development. Candidate must possess strong skills in data governance and migration, along with proficiency in various architecture tools and big data technologies. The company offers a collaborative work environment and career empowerment.

Qualifications

• 15+ years of experience leading data strategy and implementation.
• Strong background in data transformation and integration models.
• Mandatory banking experience with deep domain knowledge.

Responsibilities

• Design data solutions for performance, scalability, and availability.
• Lead teams in developing data configurations and solutions.
• Define and implement data strategy and roadmaps.

Skills

15+ years of experience in data engagements

Strong background in enterprise data strategy

Mandatory banking industry experience

Expertise in data migration strategy

Experience with Master Data Management

Data governance experience

Proficiency with architecture tools

Strong knowledge of modelling methodologies

Experience with databases and big data technologies

Tools

Informatica MDM

PowerDesigner

ArchiMate

Toad

ERWin

AWS

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are looking for a highly experienced Data Architect to lead data strategy, architecture, and solution delivery for large-scale enterprise initiatives. This role requires deep expertise in data architecture, governance, migration, and modelling, with strong experience in the banking domain. You will guide teams, shape solution direction, and support both delivery and pre‑sales engagements.

Responsibilities

• Understand the current system landscape, client capabilities, and business requirements to design data solutions that meet performance, scalability, and availability needs.
• Lead teams in designing and developing data configurations and solutions aligned with architectural standards.
• Recommend approaches to development, integration, and problem‑solving across data platforms, warehouses, and BI solutions.
• Define data strategy, solution direction, and implementation roadmaps.
• Act as the primary contact for architecture, design, and development‑related queries.
• Identify and adopt new technologies and methods to improve performance, scalability, and automation.
• Support business development efforts, including shaping solution architectures and attending client meetings with sales teams.

Job Requirements

Primary Skills

• 15+ years of experience in data engagements, including leading data strategy, roadmaps, and implementation.
• Strong background in enterprise data strategy, data transformation programs, data warehouse architectures, information flow, integration models, business information models, logical and canonical models, and data lifecycle management.
• Mandatory banking industry experience with strong domain knowledge.
• Expertise in data migration strategy, planning, costing, execution, retention, archival, and disposal.
• Experience with Master Data Management across multiple domains. Tools may include Informatica MDM, Stibo PIM, Talend Data Fabric.
• Data governance experience including capability assessments, framework design, operating models, and roadmap execution.
• Proficiency with architecture tools: PowerDesigner, ArchiMate, Toad, ERWin.
• Strong knowledge of modelling methodologies including normalized and denormalized models, ER models, star schemas, hierarchical models, Inmon and Kimball approaches.
• Experience with databases and big data technologies such as Postgres, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake.

Additional Skills

• Programming and scripting: SQL, PL SQL, NoSQL, Shell scripting, VBA, T‑SQL, DAX, SSRS.
• Familiarity with Oracle Forms, Intellimatch, MS Access.
• Exposure to cloud and web tools such as AWS, Sitecore, WordPress, Google Analytics.
• Experience with project and productivity tools including MS Project, MS Office, JIRA, and lean delivery practices.
• Understanding of TOGAF architecture principles and DAMA DMBoK.

Capgemini is an AI‑powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end‑to‑end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com