Data Architect

1 week ago

Plano, Texas, United States Ascentt Full time

We are looking for an experienced SCADA & Data Architect to design and implement industrial data architectures that integrate SCADA (Ignition), IoT, Unified Namespace (UNS), and cloud data platforms. The ideal candidate will have hands-on experience with Ignition SCADA, HiveMQ (UNS), Azure Data Factory, and Snowflake, ensuring seamless data flow, scalability, and real-time analytics across industrial systems.

Key Responsibilities:

  • Design, develop, and optimize SCADA (Ignition) and IoT data architectures for industrial automation.
  • Implement Unified Namespace (UNS) using HiveMQ to enable real-time data streaming and interoperability.
  • Integrate SCADA and IoT data pipelines with Azure Data Factory and Snowflake for efficient storage, processing, and analytics.
  • Develop robust data ingestion, transformation, and processing workflows for industrial systems.
  • Ensure high availability, security, and scalability of industrial data platforms.
  • Work with MQTT, OPC UA, and other industrial communication protocols for seamless data exchange.
  • Collaborate with cross-functional teams to optimize industrial data workflows and analytics.
  • Provide technical leadership and best practices for SCADA, IoT, and cloud data integration.

Essential Skills & Qualifications:

  • Strong experience with Ignition SCADA for industrial automation and control systems.
  • Hands-on expertise with HiveMQ and Unified Namespace (UNS) for IoT and data streaming.
  • Experience in designing and implementing Azure Data Factory workflows.
  • Proficiency in Snowflake for industrial data storage, ETL, and analytics.
  • Knowledge of MQTT, OPC UA, and industrial IoT protocols.
  • Experience with real-time data processing and event-driven architectures.
  • Strong understanding of industrial data modeling, pipelines, and cloud integration.
  • Proficiency in Python, SQL, or scripting languages for data processing.

Preferred Qualifications:

  • Experience with edge computing and IoT gateways.
  • Knowledge of cybersecurity best practices for industrial data architectures.
  • Familiarity with DevOps/MLOps practices for data pipeline automation.

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