Data Architect

Techdome; Indore District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Techdome seeks an experienced Data Architect to lead design and implementation of scalable enterprise data solutions supporting analytics needs. You will drive data architecture, modeling, and governance within a supply chain context using Azure and Databricks.

You will collaborate with business stakeholders, engineering teams, and solution teams to deliver robust data platforms and data modernization initiatives.

Qualifications

• Proven experience in Data Architecture, Solution Design and enterprise data modeling.
• Mandatory experience in Supply Chain, Logistics, Manufacturing, or related domains.
• Hands-on with Azure Data Factory, Azure Synapse, Azure Data Lake and Databricks.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Design enterprise-wide data architectures and data models aligned with business objectives.
• Collaborate with stakeholders to translate supply chain processes into scalable data solutions.
• Define and maintain data models, business rules, and data governance standards.
• Oversee end-to-end data flows, transformations, and integration architectures.
• Ensure data quality and consistency across systems.

Skills

Data Architecture

Solution Design

Enterprise Data Modeling

Data Integration

ETL/ELT

Stakeholder Management

Business Requirement Analysis

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake

Databricks

Job description

Domain: Supply Chain / Logistics / Manufacturing

Position Summary

We are seeking an experienced Data Architect to lead the design and implementation of scalable enterprise data solutions that support business and analytics needs. The ideal candidate will have a strong background in data architecture, data modeling, and solution design, with proven experience in supply chain domains and modern cloud-based data platforms such as Azure and Databricks.

The role involves collaborating with business stakeholders, functional teams, and engineering teams to translate business requirements into robust data architectures and deliver high-quality, reliable, and scalable data solutions.

Key Responsibilities

• Design and develop enterprise-wide data architectures, data models, and solution blueprints aligned with business objectives.
• Collaborate with stakeholders to understand supply chain processes, requirements, and challenges and translate them into scalable data solutions.
• Define and maintain logical and physical data models, business rules, and data governance standards.
• Design and oversee end-to-end data flows, transformation processes, and integration architectures.
• Ensure data quality, consistency, and accuracy across multiple systems through validation and reconciliation.
• Lead data architecture and integration across enterprise systems, including SAP S/4HANA and other business applications.
• Design and optimize data pipelines using Azure and Databricks technologies.
• Establish best practices for data architecture, data management, metadata management, and data governance.
• Collaborate with data engineers, business analysts, and solution teams to deliver high-quality data solutions.
• Support data modernization initiatives and contribute to the organization's data strategy and roadmap.
• Identify opportunities to improve data integration, performance, scalability, and operational efficiency.

Required Qualifications

• Proven experience as a Data Architect, Solution Architect, or Enterprise Data Architect.
• Strong expertise in data architecture, solution design, and enterprise data modeling.
• Mandatory experience in Supply Chain, Logistics, Manufacturing, or related business domains.
• Ability to translate business requirements into scalable data solutions.
• Hands-on experience with:
  • Microsoft Azure and Azure Data Services
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Data Lake
  • Databricks
• Strong knowledge of data integration, ETL/ELT processes, and data transformation frameworks.
• Understanding of data validation, data quality management, and data governance principles.
• Excellent stakeholder management and communication skills.

Preferred Qualifications

• Experience with cloud-based analytics and modern data platform architectures.
• Knowledge of Master Data Management (MDM) and data governance frameworks.
• Experience working in large-scale enterprise environments.
• Familiarity with Agile delivery methodologies.
• Azure or Databricks certifications are an advantage.

Key Skills

Data Architecture | Solution Design | Data Modeling | Supply Chain Analytics | Microsoft Azure | Azure Data Factory | Azure Synapse Analytics | Databricks | Data Integration | ETL/ELT | Data Validation | Data Governance | Data Quality Management | Stakeholder Management | Business Requirement Analysis | Enterprise Data Platforms