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Data Warehouse Architect

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Job Description

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

Job Summary:

As a Data Warehouse Architect with Capgemini, you will design, build, and maintain the framework for client's central data repository, ensuring data is accurately stored, integrated, and accessible for analysis. You will translate business needs into technical solutions, managing ETL (Extract, Transform, Load) processes, security, and data modeling to facilitate faster and reliable decision-making.

Required Experience:

  • 8 -12 years in data engineering DW roles
  • 3 years in designing enterprise scale data warehouses
  • Proven experience in delivering DW projects end to end
  • Experience in supporting analytics or regulatory reporting environments.

Key Responsibilities

  • Data Architecture Modelling

o Enterprise data warehouse architecture on prem cloud or hybrid

o Dimensional modelling star snowflake schemas

o Fact dimension design slowly changing dimensions SCD Types 13

o Understanding of data lake patterns

  • Database Performance

o Advanced SQL Oracle MSSQL

o Query optimization indexing strategies partitioning

o Handling large data volumes and complex joins

o Capacity planning and performance benchmarking

  • ETL Engineering

o Design and implementation of ETLELT pipelines

o Experience with tools such as SSIS Informatica Azure Data Factory

o Change data capture CDC strategies

o Error handling and logging

  • Data Governance Security

o Data quality frameworks completeness accuracy timeliness

o Rowlevel and columnlevel security

o Data lineage and metadata management

o Familiarity with IAM concepts and access controls a plus

  • Leadership Delivery

o Technical leadership and mentoring

o Code reviews and design authority

o Stakeholder communication and design walkthroughs

o Documentation standards

Primary Skill

  • On prem cloud
  • Hybrid data warehouse architecture
  • Dimensional modelling
  • Data lake patterns
  • Advanced SQL
  • Design implement ETL pipelines
  • Azure data factory
  • Informatica

Secondary Skill

  • Code review
  • Documentation
  • Stakeholder communications

Capgemini Offers:

Our company culture is based on 7 shared values. Honesty and trust allow collaboration; team spirit and modesty sustain it; and the resulting creative freedom and boldness lead to quality results especially when infused with a sense of fun In addition to an interesting remuneration package, we offer you a professional and international work environment where you will work on major projects. We provide you with intense professional development and stretch you as much as needed to put your skills into action, learn and progress

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Job ID: 145269919

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