Job Summary
Seeking a Data Architect to lead the design and implementation of a scalable enterprise data platform supporting manufacturing analytics, ERP integration, and digital transformation initiatives. The role will focus on enabling data-driven operations, plant analytics, and IT-OT data convergence
Key Responsibilities
Key responsibilities -
Define and implement enterprise data architecture, standards, and models
Design data platforms (Data Lake / Warehouse / Lakehouse) and integration solutions
Enable data ingestion (batch & real-time) from ERP, MES, IoT, and supply chain systems
Establish data governance, data quality, and MDM frameworks
Support manufacturing use cases (production analytics, predictive maintenance, OEE)
Collaborate with business and IT teams to align data strategy with business goals
Evaluate and recommend cloud/data technologies and tools
Skill Requirements
10+ years in Data Engineering / Data Architecture
Strong data modeling (Dimensional / Data Vault)
Experience with Data Warehousing, Data Lakes, ETL/ELT pipelines
Hands-on experience in cloud platforms (Azure / AWS / GCP)
Strong SQL and experience with large-scale data systems
Experience with data governance, metadata, and data quality
Other Requirements
Manufacturing / Industrial domain experience (Steel, Automotive, etc.)
Exposure to MES, IoT, SCADA, plant data integration
Experience with Databricks, Snowflake, Synapse, or similar platforms
Familiarity with AI/ML or advanced analytics enablement