GCP data architect with Google MDE

Location : Chaska (MN)/Aurora (IL) (Hybrid)

Detailed JD:

• Detailed JD:

Responsible for designing end-to-end data architectures that unify Industrial IoT (IIoT) data from the factory floor with enterprise IT systems. This role bridges the gap between operational technology (OT) and cloud-native analytics to drive use cases like predictive maintenance and quality anomaly detection.

Core Responsibilities

MDE Implementation: Design and implement the Manufacturing Data Engine (MDE) to ingest normalize and store factory-floor data from diverse sources.

Solution Architecture: Define end-to-end GCP data architecture using BigQuery-centric patterns GCS Pub/Sub and Dataflow for real-time and batch processing.

IT/OT Integration: Build architectures that connect MDE with the Cortex Framework to integrate manufacturing data with ERP (e.g. SAP) and CRM systems.

Use Case Enablement: Support the development of ML models for predictive maintenance machine-level anomaly detection and in-line quality control.

Governance & Security: Implement data security frameworks IAM-based access control and data governance strategies compliant with industry standards.

Required Skills & Experience

At least 14 years of experience including 5 years as GCP data architect with hands on experience in Google MDE

Manufacturing Expertise: Deep understanding of manufacturing environments including sensor data (noise vibration temperature) and OEE optimization.

GCP Data Stack: Proficiency in BigQuery Cloud Storage Dataflow Dataproc and Cloud Composer (Airflow).

Edge & IoT: Experience with Manufacturing Connect for edge-to-cloud data ingestion and handling streaming machine data.

Data Modeling: Expertise in designing conceptual logical and physical data models optimized for cloud performance and cost.

Programming: Strong SQL skills and proficiency in Python Java or Scala for pipeline development.

Preferred Qualifications

Google Professional Data Engineer or Professional Cloud Architect certification.

Experience with TimeSeries Insights API for real-time anomaly detection.

Background in integrating manufacturing hardware and managing global contract manufacturing partners