Data Architect

4 weeks ago

Houston, Texas, United States Saxon Global Full time
Job Description

We are seeking a highly experienced Data Architect to join our team at Saxon Global. The ideal candidate will have robust experience in designing and implementing data-driven solutions for Oil and Gas clients, with a strong background in system integration, solution architecture, cloud computing, and business analytics.

The candidate should have a demonstrated proficiency as well as rich experience in production operation & emissions processes across Upstream segment of the Oil industry.

Additionally, the candidate should possess expertise in communicating and collaborating across organizational levels and with cross-functional teams to achieve a common goal.

Key Responsibilities:
  • Design and implement data architectures that support scalable real-time production, field operations, emission, and alarm management in the Oil & Gas industry.
  • Work with IT and business teams to identify, evaluate, recommend, design, and develop integrated solutions that meet those needs.
  • Review and evaluate the existing real-time systems landscape and identify architecture remediation opportunities for highly scalable platforms.
  • Build an interim and target architectures for the platform, implementing industry best practices and latest technologies such as IICS, Kafka, IoT Hub, Ignition, etc.
  • Consolidate requirements from various groups (working on emissions) and design a core, scalable, and common data architecture/solution. This includes data models that can link to company master and transactional data.
  • Partner closely with product managers and business analysts to align product architecture with business needs.
  • Partner with Data Architecture, emerging technologies, and data engineering teams to enable data integration patterns to democratize real-time data for analytics developments (Machine learning, Visualization, Data analysis).
  • Work closely with Enterprise Data Architects to enforce the global standard and best practice.
  • Perform key design decisions review to ensure relevant technical strategies, policies, standards, and practices are applied correctly across products and services.
  • Develop and maintain data models for real-time production operations and emissions data sets.
  • Ensure data integrity and consistency across all data sets.
  • Monitor and optimize data architectures for performance and scalability.
Technical Skills:
  • Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments - Hadoop (Apache, Cloudera), Cloud (Azure, Amazon, GCP), and messaging protocols - MQTT, MODBUS, AMQP, RPC.
  • Strong experience in managing data and workflows for Real-time & high frequency systems.
  • Strong proficiency in Cloud computing, Microsoft Azure - Databricks, Azure IoT, Kafka, and Scada systems.
  • Experience developing solutions in Snowflake and related technologies like IICS, Snowpipe, DBT, or ADF.
  • Strong proficiency in Python, R, SQL, C++, PowerShell.
  • Experience in Business Intelligence, Power BI, Spotfire.
  • Experience with data modeling and database design.
  • Familiarity with data warehousing and business intelligence concepts.
  • Strong problem-solving skills and ability to work in an agile fast-paced environment.
  • Strong communication and collaboration skills.
Required Skills:
  • Top must-have technologies/requirements:
    • Managing data and workflows for real-time and high frequency systems.
    • Cloud computing with Azure data services (databricks, IoT, etc).
    • Scripting - anything from Python, R, SQL, C++, PowerShell.

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