Google Cloud Platform data architect

RIVAGO INFOTECH INC.

Chaska, MN, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Airflow ARM Architecture Batch Processing BigQuery Cloud Computing Cloud Database Cloud Storage Computer Programming Data Architecture Data Governance

+13 more

Data Security Database Queries Data Flow Control Identity and Access Management Python (Programming Language) Machine Learning Cloudera SAP (Applications) Google Cloud Information Technology Operational Systems Physical Data Models Data Pipelines

Job description

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.

Requirements

*€€€€€€ 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