Úta Analytics 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. · 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. · Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments – , 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. Informatica iPaas