This role is for one of the Weekday's clients.
Min Experience: 10 years.
Location: Bangalore, Hyderabad, Telangana, Karnataka.
Job Type: full-time.
We are looking for an experienced Data Architect to design, implement, and govern scalable, secure, and efficient data platforms within a data mesh environment. You will lead data architecture initiatives across multiple domains, supporting both operational and analytical use cases while ensuring high standards of data quality, governance, and consistency.
Key Responsibilities
- Data Modeling & Architecture: Develop conceptual, logical, and physical data models to support business requirements. Utilize dimensional, flattened, canonical, and domain-specific models for analytics and operations.
- Collaboration: Work closely with data analysts, engineers, and business stakeholders to understand data needs and deliver robust data solutions. Maintain detailed documentation including data models, flows, and dictionaries.
- Standards & Governance: Define and enforce data modeling standards and best practices. Establish metadata, data quality standards, and classification frameworks across domains.
- Data Mesh & Platform Design: Lead the creation of enterprise-grade data architectures, leveraging medallion architecture (Bronze, Silver, Gold) and data lakehouse concepts. Ensure consistency and interoperability across decentralized data products.
- Tools & Frameworks: Design and implement data models using Erwin Data Modeler or ER/Studio. Utilize Collibra or similar tools for data governance.
- Leadership & Guidance: Provide architectural guidance to domain teams, ensuring adherence to standards and facilitating efficient integration across systems.
Required Skills & Experience
- Proven experience in data architecture, modeling, and governance in complex, enterprise-scale environments.
- Strong expertise in conceptual, logical, and physical data modeling.
- Experience with medallion architecture, data lakehouse, and 3-layer architecture principles.
- Hands-on experience with Erwin, ER/Studio, or equivalent data modeling tools.
- Familiarity with Collibra or other data governance platforms.
- Knowledge of AWS cloud services and modern data engineering principles.
- Strong understanding of dimensional modeling, canonical models, and data integration approaches.
- Excellent collaboration, documentation, and communication skills.
Core Skills
Data Architecture | Data Modeling | Dimensional Modeling | Data Governance | Data Mesh | Medallion Architecture | Data Lakehouse | Logical & Physical Models | Erwin | ER/Studio | AWS | Data Engineering
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Other
Industries
IT Services and IT Consulting