Job Description:

· Lead discovery of industrial data requirements and translate business use cases into a scalable data architecture and delivery roadmap.

· Define end-to-end patterns for ingestion, contextualization, storage, integration, security, observability and consumption across edge, plant and cloud layers.

· Guide integration of historian, IoT, PLC/SCADA, MES, ERP, quality, maintenance and laboratory systems.

· Own data modelling standards for assets, processes, products, batches, orders, events and time-series signals.

· Plan work, estimate effort, manage dependencies and govern delivery quality for data-engineering workstreams.

· Review solution designs and code; ensure performance, resilience, security,



testing and maintainability standards are met.

· Lead data-quality, lineage, metadata and reconciliation strategies and resolve cross-system data ownership issues.

· Partner with manufacturing leads, enterprise architects, data scientists, UX teams and client technology leaders.

· Mentor engineers, allocate work, build reusable accelerators and support capability development.

Provide transparent status, risk, decision and value reporting to program leadership and client stakeholders

📌 Data Engineering - Industrial Data Platforms (Maharashtra)
🏢 Acme Services
📍 Maharashtra