Data Architect IV

General Information/Assignment Scope: 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 : Azure,Basic Qualification :

scada, iot , pythonAdditional Skills :

scada, iot , pythonBackground Check :YesDrug Screen :YesNotes :Selling points for candidate :Project Verification Info :Candidate must be your W2 Employee :NoExclusive to Apex :NoFace to face interview required :NoCandidate must be local :NoCandidate must be authorized to work without sponsorship ::NoInterview times set : :NoType of project :Other Project TypeMaster Job Title :Misc: Non-TechnicalBranch Code :Tulsa