Data Architect

7 days ago

Hyderabad, Telangana, India Weekday AI Full time ₹ 6,00,000 - ₹ 9,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs 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

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