Manager at KPMG India
Bangalore, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

0.0

Posted On

08 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Architecture, Data Modelling, Enterprise Data Platforms, Conceptual Modelling, Logical Modelling, Physical Modelling, ERwin, ER/Studio, Stakeholder Management, Data Governance, Analytics Engineering, Cloud Data Solutions, Regulatory Compliance, Strategic Thinking, Interpersonal Communication, Collaboration

Industry

Business Consulting and Services

Description
Role Overview The Data Architect & Modeller is responsible for designing, developing, and managing the organization’s data architecture to support business needs and strategic objectives. This role supports the Head of Data Architecture, Strategy Lead, and Data Engineering teams in delivering a robust enterprise data approach. The role focuses on defining enterprise data models, building scalable data platforms, and enabling ‘one source of truth’ and ‘one version of the truth’ through strong data modelling, governance, and best practices. This position requires strong technical expertise in modern data platforms, combined with strategic thinking, stakeholder collaboration, and the ability to support cross-functional initiatives within a highly regulated environment.   Background KPMG in the UK have recently appointed a Chief Data Officer to establish and embed an enterprise data strategy as part of a significant digital transformation initiative. To support this, a data modeller is required to work closely with the Strategy Lead and Head of Data Architecture & Engineering to: * Develop an enterprise data model * Support the build-out of a data platform * Embed data management best practices Enable a consistent and governed approach to data across the firm
Responsibilities
The role is responsible for designing and managing the organization's data architecture to create a scalable enterprise data model and a single source of truth. It involves collaborating with the Head of Data Architecture and Engineering to embed data management best practices across the firm.
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