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Data Architect - Erwin & Collibra

ResourceTree Global Services Pvt Ltd
Multiple Locations
10 - 15 Years

Posted on: 17/12/2025

Job Description

Description :


Data Architect- We are seeking an experienced Data Architect to design and govern scalable, secure, and efficient data platforms in a data mesh environment. You will lead data architecture initiatives across multiple domains and support both operational and analytical use cases.

Experience in Years : 10 to 15 Years

Location : Hyderabad or Bangalore

Key Responsibilities :

- Create conceptual, logical, and physical data models to support business requirements.

- Collaborate with data analysts and business stakeholders to understand data needs and deliver data solutions.

- Maintain comprehensive documentation of data models, data flows, and data dictionaries.

- Develop and enforce data modelling standards, including ER Models, Dimensional, flattened data models optimized for analytics.

- Design and implement enterprise-grade data architectures leveraging the medallion architecture (Bronze, Silver, Gold).

- Lead the development of data landscapes , capturing sources, flows, transformations, and consumption layers.

- Collaborate with domain teams to ensure consistency across decentralized data products in a data mesh architecture.

- Define metadata and data quality standards across domains.

Key Skills & Qualifications :

Must-Have Technical Skills :

- Data Modeling using Erwin Data Modeler Tool (dimensional, flattened, common data model, canonical, and domain-specific, entity level data understanding from business process point of view)

- Data Governance and Data Classification frameworks

- Should have experience using Collibra as a Data Governance tool

Architecture & Design :

- Proven expertise in Data Mesh or Domain-Oriented Data Architecture

- Experience with medallion/lakehouse architecture

- Ability to create data blueprints and landscape maps across complex enterprise systems

Soft Skills :

- Strong stakeholder management across business and technology teams

- Ability to translate business requirements into scalable data designs

- Excellent communication and documentation skills


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