Data Architect

Weekday AI (YC W21)

Hyderabad

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+
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Job summary

A leading data solutions company is seeking an experienced Data Architect in Hyderabad, India. This role involves designing, implementing, and governing scalable data platforms. The candidate will be responsible for data modeling, collaboration with stakeholders, and establishing governance standards. Required skills include expertise in data architecture and tools like Erwin and AWS. Ideal candidates should have at least 10 years of relevant experience. This is a full-time, mid-senior level position in IT services and consulting.

Qualifications

  • Proven experience in data architecture, modeling, and governance in complex environments.
  • Strong expertise in conceptual, logical, and physical data modeling.
  • Hands-on experience with Erwin, ER/Studio, or equivalent data modeling tools.
  • Familiarity with Collibra and AWS cloud services.

Responsibilities

  • Develop data models to support business requirements.
  • Collaborate with analysts and engineers to deliver data solutions.
  • Define data modeling standards and best practices.
  • Lead creation of enterprise-grade data architectures.
  • Provide architectural guidance to teams.

Skills

Data Architecture
Data Modeling
Dimensional Modeling
Data Governance
Data Mesh
Medallion Architecture
Data Lakehouse
Logical & Physical Models
Erwin
ER/Studio
AWS
Data Engineering

Tools

Erwin Data Modeler
ER/Studio
Collibra

Job description

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

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