Data Architect - Chennai - GOM

India·Chennaimid

Data ArchitectData & AI

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Overview

Job Title: Data ArchitectExperience: 8+ YearsLocation: Chennai – Hybrid (3 Days/Week)Notice Period: Immediate to 30 daysWork Type: Full-timeAbout the Company:Our client is a global digital transformation and marketing technology services firm that helps enterprises deliver personalized, data-driven…

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Job Title: Data Architect
Experience: 8+ Years
Location: Chennai – Hybrid (3 Days/Week)
Notice Period: Immediate to 30 days
Work Type: Full-time

About the Company:
Our client is a global digital transformation and marketing technology services firm that helps enterprises deliver personalized, data-driven customer experiences. With strong capabilities across engineering, cloud, data, and experience design, the company partners with leading brands to build scalable, high-performance digital platforms. Their teams work on complex, high-traffic web applications using modern architectures and cloud-native technologies.

Role Overview:
The Data Architect will design, implement, and manage scalable, reliable, and secure data architectures that power analytics, integrations, and real-time processing across the organization. As part of the Data Platform team, this role collaborates closely with Solution Architects, Data Engineers, and cross-functional stakeholders to ensure that data models and systems are aligned with business needs and enterprise architecture standards.

Key Responsibilities:

Translate business and technical requirements into well-defined data models and architecture specifications.
Design and document logical and physical data models, data flow diagrams, and integration patterns.
Align data architecture with application design and system interaction patterns in collaboration with Solution Architects.
Establish and maintain best practices and design standards for relational, NoSQL, and streaming data solutions.
Act as a hands-on architecture lead during discovery, planning, and delivery phases of data projects.
Guide data engineers in implementing solutions consistent with architecture principles and project requirements.
Conduct design and code reviews to ensure solution quality, scalability, and compliance.
Drive platform evolution by defining and enforcing reusable, modular, and scalable architecture practices.
Define and enforce best practices for data modeling, data security, and performance tuning.
Maintain consistency in metadata, naming conventions, and data access standards across environments.
Support data privacy, classification, and auditability requirements across integrated systems.
Partner with Product Managers, Engineering Leads, DevOps, and Analytics teams to deliver end-to-end data solutions.
Collaborate with Solution Architects to ensure cohesive design and delivery across application and data domains.
Serve as a subject matter expert on data structures, semantics, and lifecycle management cross key business areas.

Required Skills:

7+ years in data engineering or data architecture roles, with at least 3 years in an architecture-focused position.
Proven expertise in GCP and/or Azure, with deep understanding of native data services.
Strong understanding of relational, NoSQL, and object storage paradigms.
Hands-on experience with Oracle and PostgreSQL; proficiency in Python preferred.
Familiarity with infrastructure-as-code (IaC) and CI/CD pipelines for data engineering.
Excellent communication and stakeholder management skills, with the ability to lead through influence.
Self-motivated, organized, and capable of managing multiple initiatives simultaneously.

Eligibility / Qualifications: