Key responsibilities
• Assess source systems, data ownership, integration constraints, data volumes, reporting needs and current data infrastructure.
• Design target data architecture, including ingestion, staging, curated data layers, storage, semantic/reporting layers and data consumption patterns.
• Define integration patterns for ERP and other approved business systems, considering APIs, OData, database extracts and batch/incremental processing as appropriate.
• Establish data modeling standards, master/reference data approach, metadata, lineage, data quality controls and naming conventions.
• Define security, access control, sensitive-data handling, auditability, environment separation and operational monitoring requirements with Nextern IT/security.
• Guide Data Engineers on source-to-target mappings, pipeline design, transformation patterns, performance and error recovery.
• Ensure architecture can support prioritized use cases across BOM/UoM/routing, quality reporting, supply-chain analytics and potential MES/CMMS/component lifecycle data.
• Evaluate platform and technology options against Nextern’s existing workplace, without assuming a specific platform before discovery.
• Review architecture decisions, technical designs and non-functional requirements; identify risks, dependencies and implementation trade-offs.
• Support technical governance,



design reviews, deployment readiness, documentation and knowledge transfer. Required

experience:
• Relevant

experience:
8–12 years of relevant experience.
• Educational

qualifications:
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Engineering, or a related technical discipline. A master’s degree in Data Engineering, Computer Science or Enterprise Architecture is an advantage.
• 8–12 years in data engineering, data platform design, integration architecture or related roles.
• Strong experience with data architecture, data modeling, SQL/data platforms and integration design.
• Understanding of ETL/ELT, APIs, batch/incremental processing, data quality and lineage.
• Experience defining security, scalability, reliability, monitoring and maintainability requirements.
• Ability to guide technical teams and communicate architecture decisions to business and IT stakeholders. Preferred

qualifications:
• Experience in manufacturing, supply-chain, quality or regulated-industry data environments.
• Exposure to cloud data platforms, lakehouse/warehouse architectures, BI semantic models and orchestration tools.
• Experience integrating ERP, MES, CMMS, PLM or eQMS systems.

📌 Data Architect (Coimbatore)
🏢 NovintiX
📍 Coimbatore