Lead design, integration, and support of digital and controls architecture for automated batching, liquid processing, and packaging operations.
Compensation
Pay range for this opportunity is $107,525.00 - $139,150.00.This position is eligible for bonus participation.
Responsibilities
Lead user, business, functional, software, interface, and data-requirement definition for automated batching, liquid processing, packaging, utilities, and supporting manufacturing systems.
Develop and maintain control-system architecture and capability standards for PLCs, HMIs, SCADA, batch engines, safety interfaces, motion, vision, robotics, weigh systems, instrumentation, and packaging-line controls.
Define equipment and system integrations across processing and packaging, including machine-to-machine communications and interfaces with MES, LIMS, historians, ERP, CMMS, warehouse, serialization, and reporting platforms.
Ensure recipes, units, phases, equipment modules, procedural control, exception handling, electronic signatures, and batch-record structures comply with regulatory requirements, Medical Devices.
Design and support automated batch records, electronic workflow, material verification, parameter capture, alarm/event history, genealogy, review-by-exception, and complete audit trails.
Requirements
Bachelor’s Degree – Systems, Controls, Electrical, Computer, Chemical, or related Engineering
Design and own the end-to-end data platform for APEX, including ingestion, transformation, and reporting layers.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources, with clear standards for ingestion, transformation, validation, and consumption.
Define ingestion cadence and watermarking strategy per source, based on each source's true data freshness.
Design the Gold-layer Kimball star schema (facts, dimensions, grain, SCD Type I/II) to support sales, telephony, agent activity, and quality reporting.
Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns based on source characteristics, volumes and performance needs.
Build and optimize Databricks and Delta Lake pipelines, and set cost and performance practices for cluster sizing, job versus all-purpose compute, and Photon.
Design the end-to-end data platform for APEX, ingesting contact centre telephony and quality data, and delivering it through a Bronze/Silver/Gold architecture on Databricks into a Kimball-style reporting layer.
Locations (2)
Mississauga, Ontario, Canada
Toronto, Ontario, Canada
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources, with clear standards for ingestion, transformation, validation, and consumption.
Define ingestion cadence and watermarking strategy per source, based on each source's true data freshness.
Design the Gold-layer Kimball star schema (facts, dimensions, grain, SCD Type I/II) to support sales, telephony, agent activity, and quality reporting.
Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns based on source characteristics, volumes and performance needs.
Design the end-to-end data platform for APEX, ingesting contact centre telephony and quality data, and delivering it through a Bronze/Silver/Gold architecture on Databricks into a Kimball-style reporting layer.
Locations (2)
Etobicoke, Ontario, Canada
Toronto, Ontario, Canada
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources
Define ingestion cadence and watermarking strategy per source
Design the Gold-layer Kimball star schema to support sales, telephony, agent activity, and quality reporting
Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns
Build and optimize Databricks and Delta Lake pipelines
Build and optimize Databricks and Delta Lake pipelines, and set cost and performance practices for cluster sizing, job versus all-purpose compute, and Photon.
