Data Architect

CAPGEMINI SINGAPORE PTE. LTD.; Singapore; On-site; SGD 260,000 - 380,000; Full time

Job summary

CAPGEMINI SINGAPORE PTE. LTD. seeks a senior data architecture leader to analyze the data landscape, design scalable solutions, and guide cross‑functional teams.

You will shape architectures for proposals, lead implementation roadmaps, and ensure alignment with business objectives in the banking sector. MDM across multi‑domain environments and substantial experience with traditional and modern data technologies will be essential.

Qualifications

• 15+ years of experience in data engagements, leading data strategy, roadmaps, and end‑to‑end implementation programs.

Responsibilities

• Design scalable, high‑performance, and highly available data solutions for enterprise architectures.

Skills

Data strategy

Roadmaps

End-to-end implementation

Data architecture

Data modeling

Data governance

Banking domain experience

MDM knowledge

Education

TOGAF

DAMA-DMBOK

Tools

Informatica MDM

Stibo PIM

Talend Data Fabric

PowerDesigner

ArchiMate

Toad

ERWin

Postgres

Oracle

SQL Server

DB2

Teradata

Hive

Pig

Impala

MongoDB

Cassandra

HBase

Snowflake

AWS

Job description

Overview

Analyze the current data landscape, client capabilities, and business requirements to design scalable, high-performance, and highly available data solutions.

Lead cross-functional teams in designing and developing data solution configurations aligned with the proposed architecture.

Recommend best-fit approaches to address development, integration, and performance challenges in data warehouse and business intelligence environments.

Define strategic direction and create implementation roadmaps for enterprise data initiatives.

Serve as the primary point of contact for architecture, design, and development-related queries.

Apply deep expertise in both modern and traditional data technologies to guide architectural decisions.

Identify, evaluate, and adopt emerging technologies and methodologies to improve performance, automation, and scalability.

Support business development by shaping solution architectures for proposals and participating in client meetings with the sales team.

Experience and Qualifications

15+ years of experience in data engagements, leading data strategy, roadmaps, and end‑to‑end implementation programs.

Expertise in enterprise data strategy, alignment with business objectives, transformation initiatives, and warehouse architecture models.

Strong understanding of information flow, integration and interfacing approaches, business information models, logical and canonical data models, and data lifecycle management.

Experience with analytical, regulatory, and compliance reporting models.

Mandatory banking industry experience with strong domain expertise.

Extensive experience in data migration strategy, planning, costing, execution, retention, archival, and disposal.

Master Data Management (MDM) across multi-domain environments using tools such as Informatica MDM, Stibo PIM, and Talend Data Fabric.

Data governance capability assessment (as‑is/to‑be), framework design, model development, roadmap creation, and execution.

Proficiency with architecture tools such as PowerDesigner, ArchiMate, Toad, and ERWin.

Strong foundation in normalized/denormalized design, ER modeling, star schema design, hierarchical models, and Inmon and Kimball methodologies.

Hands‑on experience with platforms including Postgres, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, and Snowflake.

Additional Skills

Programming and scripting: MS SQL, PL/SQL, NoSQL, Shell scripting, VBA, T‑SQL, DAX.

Reporting and UI tools: MS SSRS, Oracle Forms (6i, 9i, 10g), Intellimatch, MS Access.

RDBMS experience: Oracle 9i/10g, MS SQL Server 2008-2014, Oracle 9i AS/10g.

Web and cloud technologies: Sitecore, AWS, WordPress, Google Analytics/GTM.

Management tools: MS Project, MS Office Suite, JIRA, rLean.

Frameworks and certifications: TOGAF, DAMA‑DMBOK.