Data Architect

This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA)

Min Experience: 8 years

Location: Chennai

JobType: full-time

The Data Architect is responsible for designing, building, and governing scalable, secure, and high-performing data architectures that enable analytics, integrations, and real-time data processing across the organization. This role works closely with Solution Architects, Data Engineers, and cross-functional stakeholders to ensure data platforms align with business objectives and enterprise architecture standards.

Key Responsibilities

• Translate business and technical requirements into robust data architecture designs and specifications.
• Design, document, and maintain logical and physical data models, data flows, and integration patterns.
• Collaborate with Solution Architects to ensure alignment between data architecture, applications, and system interactions.
• Define and enforce architecture standards and best practices across relational, NoSQL, streaming, and cloud-based data solutions.
• Act as an architecture lead across discovery, planning, and delivery phases of data initiatives.
• Provide technical guidance to data engineering teams to ensure solutions adhere to architectural principles.
• Review designs and implementations to ensure scalability, performance, security, and compliance.
• Drive platform evolution through reusable, modular, and future-ready architecture patterns.
• Establish standards for data modeling, metadata management, naming conventions, and data access controls.
• Ensure compliance with data privacy, classification, governance, and audit requirements.
• Partner with Product, Engineering, DevOps, and Analytics teams to deliver end-to-end data solutions.
• Serve as a subject matter expert on data structures, semantics, and lifecycle management across key business domains.

Required Skills & Experience

• 7+ years of experience in data engineering or data architecture, with at least 3 years in an architecture-focused role.
• Strong expertise in cloud platforms such as GCP and/or Azure, including native data services.
• Deep understanding of relational databases, NoSQL systems, and object storage architectures.
• Hands-on experience with Oracle and PostgreSQL; proficiency in Python preferred.
• Experience with infrastructure-as-code (IaC) and CI/CD pipelines for data platforms.
• Excellent communication and stakeholder management skills, with the ability to influence across teams.
• Highly organized, self-driven, and capable of managing multiple initiatives in parallel.