Tata iQ Data Architect Smart Manufacturing Mumbai Work From Office

Tata iQ; Mumbai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Tata iQ in Mumbai seeks an experienced Data Architect to design scalable enterprise data platforms for manufacturing and Industry 4.0 initiatives. The role emphasizes data architecture, governance, real-time integration, semantic modeling, and AI-ready data foundations across multiple plants.

You will collaborate across MES, ERP, IoT/OT ecosystems, build knowledge graphs, and lead data governance and security controls to enable predictive maintenance and advanced analytics.

Qualifications

• Experience in designing enterprise data platforms for manufacturing/Industry 4.0.
• Strong data governance, metadata management, and security controls knowledge.

Responsibilities

• Design scalable enterprise data platforms for manufacturing and Industry 4.0 initiatives across plants.
• Focus on data architecture, governance, real-time integration, semantic modeling, and AI-ready data foundations.

Skills

Data architecture

Data modeling

API architecture

Enterprise data architecture

Python

SQL

Cloud data platforms

Streaming data

Real-time analytics

Data lakes

Data governance

MDM

Metadata management

Lineage

Security controls

MES/ERP integration

IoT/OT integration

Knowledge Graphs

Ontologies

Semantic layers

Digital Twins

AI/ML data foundations

Agentic/LLM apps

Time-series data

Sensors/alarms/events

Tools

Python

SQL

Cloud platforms

Job description

Position : Data Architect Smart Manufacturing & Industry 4.0

Industry 4.0, Smart Manufacturing, MES, ERP, IoT/OT, Knowledge Graph, Digital Twin, Data Governance

Role & responsibilities

Job Summary

We are seeking an experienced Data Architect to design scalable enterprise data platforms for manufacturing and Industry 4.0 initiatives. The role focuses on data architecture, governance, real-time integration, semantic modeling, and AI-ready data foundations across multiple plants and business units.

Desired Skills

• Expertise in Data Architecture, Data Modeling, API Architecture, and Enterprise Data Architecture.
• Strong proficiency in Python, SQL, and cloud-based data platforms/lakehouse architectures.
• Hands-on experience with streaming data, real-time analytics, data lakes, and industrial data fabrics.
• Experience implementing Data Governance, MDM, metadata management, lineage, and security controls.
• Ability to design scalable solutions integrating MES, ERP, IoT/OT, and manufacturing data ecosystems.

Good to Have Skills

• Experience with Knowledge Graphs, Ontologies, Semantic Layers, and Digital Twins.
• Exposure to Smart Manufacturing, Predictive Maintenance, and Manufacturing Intelligence use cases.
• Experience building AI/ML data foundations and supporting Agentic or LLM-powered applications.
• Knowledge of industrial time-series data, sensors, alarms, events, and operational technologies.
• Experience standardizing enterprise data solutions across multiple sites, plants, or business units.