Manager, Data Engineering

Overview As a Data Engineer, you will design and maintain data pipelines and a BigQuery data warehouse to support analytics. You’ll collaborate with data scientists, analytics, and IT to align data delivery with requirements and resolve issues. The role emphasizes scalable, automated data infrastructure and continuous improvement within a DEI+B focused environment. You will work across teams to drive data solutions and share Snowflake best practices. This is a hands-on, impact-driven role at BarkleyOKRP. ResponsibilitiesDesign, develop, and maintain Google BigQuery data warehouse solutionsImplement data pipelines and ETL processes to support data integration and analyticsCollaborate with Data Suppliers (technical) for receiving data feedsValidate data delivery from Data Suppliers and resolve technical/data issuesCollaborate with cross-functional teams to gather requirements and deliver data solutionsMaintain operational documents to ensure they are currentCreate optimal data pipeline architecture, troubleshoot data integration and job schedulingStay current with trends and best practices in Snowflake and AWS technologiesProvide support and training to team members on Snowflake best practicesIdentify and implement internal process improvements; automate manual processes; improve data delivery, redesign infrastructure for scalability Key requirementsVery strong on SQL; 3-4+ years of experience with SQL on large scale datasetsCloud-based Data Engineering with design, implementation and operationalization of large-scale data and analytics solutions, ideally SnowflakeExperience with Python programming languageExperience on ETL development lifecycle and data warehouse using Python, BigQuery & GCP ServicesExperience with marketing/advertising would be a plusExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsAbility to work under pressurestrong communicationcollaborationproblem-solvingSQLPythonGoogle BigQuery