Data Architect

Location: Hyderabad, India; Indore, India

Department: Engineering

Experience: 10+

Position Summary

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.
• Experience designing scalable data pipelines and enterprise data platforms.
• 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