Data Architect

Real-time Data Architect We are seeking a highly experienced Real-time Data Architect to join our team. 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 exiting real-time systems landscape and identify architecture remediation opportunities for highly scalable platform. 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 model 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. Software Technology Inc