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, setting 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 environment, 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