Data Architect
Capgemini
Posted on 16 Mar
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Within our project teams, you will contribute to the implementation of data integration solutions for key accounts in the banking, insurance, energy, and industrial sectors. You will join a multidisciplinary team, organized using Agile methodologies, and working on high-impact business projects.
As a Data Architect, you will be involved in various tasks such as:
- Define data architectures (Data Lake, Data Warehouse, Data Mesh) according to business and technical needs.
- Design data models and integration flows in cloud and hybrid environments.
- To ensure the consistency, security and performance of the data solutions implemented.
- Collaborating with Data Engineering, BI, Data Science teams and enterprise architects.
- Implement good practices in data governance, quality and documentation.
- Participate in the selection of technologies and tools adapted to the projects.
- To provide technical guidance to the teams and contribute to technological monitoring around data architectures.
Desired Candidate Profile
- Diploma m (e) of a Bac+5 in computer science or equivalent.
- Proven experience (7 years) in data architecture or data engineering.
- Mastery of the concepts of data architecture, modeling, governance and security.
- Good knowledge of cloud environments (Azure, AWS, GCP) and integration and orchestration tools.
- Ability to design scalable, robust solutions aligned with business challenges.
- Leadership, analytical skills, rigor and ability to work in a team.
- A certification in cloud or data architecture is a plus.
Company Industry
- Consumer Durables
- Consumer Electronics
Department / Functional Area
- IT Software
Keywords
- Data Architect
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Capgemini
Capgemini is a responsible, multicultural, global leader with nearly PHONE_NUMBER people in more than 50 countries. With 55 years of experience, we are a strategic partner to businesses, helping them transform their operations by harnessing the power of technology and innovation in rapidly evolving areas such as cloud, data, artificial intelligence, connectivity, software, digital engineering, and platforms.