Job
Description
Design and implement robust data architectures on Azure, Google Cloud, or on-premises platforms like Cloudera. Develop and optimize data pipelines, architectures, and data sets for real-time data integration. Ensure data architecture aligns with business requirements and supports the creation of data products. Apply expertise in SQL and data modelling to manage and manipulate large, complex data sets. Utilize data virtualization tools to provide efficient access to various data sources. Implement Master Data Management (MDM) and Data Quality frameworks to maintain high data integrity. Collaborate with cross-functional teams to integrate industry-standard data sources and systems such as PI, SAP, LIMS, SPF, Maximo, SharePoint, SCADA, and HYSYS. Uphold data governance and data integrity principles specific to the Oil and Gas/Power and Utility/Manufacturing industry. Stay current with emerging technologies and industry trends to drive innovation within the team. Qualifications 10+ years of experience in data architecture or a related field. Proven experience with Databricks and cloud technologies (Azure/Google Cloud). Familiarity with on-premises data solutions like Cloudera. Extensive experience in the Oil and Gas/Power and Utility/Manufacturing. Strong proficiency in SQL and experience with real-time data integration. Solid understanding of Data Products, Data Fabric, and Data virtualization tools. Knowledge of MDM and Data Quality principles. Proficiency with industry-standard data sources and systems (PI, SAP, LIMS, SPF, Maximo, SharePoint, SCADA, HYSYS). Excellent knowledge of data modelling, data governance, and data integrity principles. Bachelors or master s degree in computer science, Engineering, or a related field.
