GCP data architect with Google MDE || Chaska (MN)/Aurora (IL) (Hybrid)
Mohd Uves
Role : GCP data architect with Google MDE
Location : Chaska (MN)/Aurora (IL) (Hybrid)
Contract
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
|
Thank you With regards, Mohd Uvesh |
|
Technical Recruiter |
|
410 Wall Street • Princeton, NJ 08540 |
Mu...@alltechconsultinginc.com
+1(609) 456-0255 (Office)