Build standard shop floor to cloud data acquisition pipeline including machine data extraction, data conversion, secure data transfer between network layers and components and cloud ingestion
Build a cloud native architecture to distribute data between the ingestion components and consumer applications
Build data storage, accessibility layer and processing solutions according to the business requirements
Scope 2 – Integrations and Deployment
Implement IDF as the data layer of strategic tools
Integrate all key sites with the data platform
Scope 3 – Legacy Applications
Keep alive of critical legacy production applications, developed in house
Coordinate the decommission or replacement process of legacy tools
Expectations
Industrial IoT Technology Experties
Experience in AWS OT technologies (e.g., AWS IoT Core, Greengrass, Databases, Security, AI)
Understanding of ISA-95 Level 2 applications/systems built on industry standard tools
Experience in Data Contextualization technologies used in ISA-95 Level 1/2 applications/systems (ex. Inductive Automation Ignition, HighByte Intelligence Hub, Cognite, etc.)
Experience in Data Democratization technologies used in ISA-95 Level 1/2 applications/systems (e.g., MQTT)
Experience in Agile Software Development (ideally Scaled Agile Framework)