Data Architect

This role is for one of the Weekday's clients

Salary range: Rs 3500000 - Rs 5000000 (ie INR 35-50 LPA)

Min Experience: 10 years

Location: Hyderabad, Bangalore

JobType: full-time

We are looking for a skilled Data Architect to design and manage scalable, secure, and efficient data platforms in a data mesh environment. The role involves leading data architecture initiatives across multiple domains while supporting both operational and analytical use cases.

Requirements

Key Responsibilities

• Design conceptual, logical, and physical data models to meet business requirements.
• Collaborate with data analysts and business stakeholders to understand data needs and deliver effective data solutions.
• Maintain comprehensive documentation of data models, data flows, and data dictionaries.
• Develop and enforce data modeling standards, including ER models, dimensional models, and flattened data structures optimized for analytics.
• Design and implement enterprise-grade data architectures leveraging medallion/lakehouse architecture (Bronze, Silver, Gold).
• Lead the development of enterprise data landscapes, capturing sources, flows, transformations, and consumption layers.
• Ensure consistency across decentralized data products in a data mesh architecture.
• Define metadata, data quality, and governance standards across domains.

Key Skills & Qualifications

Technical Skills:

• Expertise in Data Modeling using Erwin Data Modeler (dimensional, flattened, canonical, and domain-specific models).
• Knowledge of Data Governance and Data Classification frameworks.
• Experience with Collibra or similar data governance tools.

Architecture & Design:

• Proven experience with Data Mesh or Domain-Oriented Data Architecture.
• Hands-on experience with medallion/lakehouse architecture.
• Ability to create comprehensive data blueprints and landscape maps across complex enterprise systems.

Soft Skills:

• Strong stakeholder management and collaboration skills across business and technology teams.
• Ability to translate business requirements into scalable and efficient data designs.
• Excellent communication, documentation, and presentation skills.

Core Skills: Data Modeling, Erwin, Data Mesh, Lakehouse Architecture, Data Governance