Commercial DT Senior Data Solution Developer

Job Summary We are seeking a highly-skilled Sr. Data Solution Developer with Commercial/Energy trading experience to join our Commercial DT team. Reporting to the DT Supervisor, Commercial Data, this role will bridge the gap between raw energy market data and actionable commercial insights by designing high-performance data solutions, data models and automated data pipelines. You will work closely with data architects, Commercial analysts, and model developers to create scalable data assets supporting forecasting, optimization, risk modeling, and real time decision making. This role will be part of a team of data architect, data governance analyst and data solutions developers responsible for implementing Commercial data solutions and data pipelines while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data for Commercial groups. Additionally, this role will work closely with Commercial data/quant analysts, data scientists, model owners, project/program managers, Corporate DT operational support managed services team, vendors, data architects, and the data governance analyst to provide clean and reliable data and high-quality data solutions. This role requires a demonstrated focus on current technologies and practical analytical experience. Position Overview Your Responsibilities May include: Design and develop robust data pipelines, ETL/ELT processes, and workflow orchestration systems to automate data ingestion, transformation, and distribution across multiple platforms for Commercial Collaborate with data architects and analysts to translate business requirements into technical specifications to develop end-to-end data solutions—from database objects to security models—that support business modeling, forecasting, and reporting requirements Build and maintain scalable data infrastructure including data warehouses, data lakes, and streaming systems that support high-volume data processing and analytics workloads Implement data quality validation, monitoring frameworks, and error handling mechanisms to ensure reliable data delivery and maintain system performance standards Monitor system health, troubleshoot data pipeline failures, and implement automated recovery procedures to maintain operational reliability and minimize downtime Monitor Commercial trading analytics models performance Adhere to ConocoPhillips’ governance and compliance policies for data and processes Collaborate with Data Architect to develop and evaluate design options to ingest and catalogue real-time, structured, and unstructured datasets into Data Management environments per Commercial business priorities and use cases Cultivate relationships with peer Data Management groups to ensure alignment, compliance and long-term sustainability of our Commercial digital assets Proactively identify opportunities for automation and continuous improvements Stay current with the latest trends, technologies, and best practices in data management, application development, and data engineering Participate in and support Agile quarterly planning for the team Expertise in optimizing queries and performance by establishing standards to minimize system workload and costs Success Profile: Takes Accountability: Takes ownership of actions, follows through on commitments, and stands up for what is right Drives Performance: Delivers positive outcomes through realistic planning and goal setting Makes Decisions: Builds effective solutions using available information and makes timely, ethical decisions Required