Role : Google Cloud Platform data architect with Google MDE
Location : Chaska (MN)/Aurora (IL) (Hybrid)
Contract
End client - Healthcare.
Experience - 13+ years
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 to ingest, normalize, and store factory-floor data from diverse sources.
•€€€€€€ Solution Architecture: Define end-to-end Google Cloud Platform 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 Google Cloud Platform 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.
•€€€€€€ Google Cloud Platform 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
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