Data Engineer, CBO Performance Enablement

About the Role This role contributes to the success of the CBO Performance Enablement team by delivering end-to-end data development and enablement that supports reporting and performance insights. It ensures data platforms, governance, and processes align with policy and technology strategy, while delivering reliable data products in an Agile environment. What You'll Do

• Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Design, build, and maintain scalable data architectures and data pipelines using SQL Server (on premise and private cloud) to support data integration, transformation, validation, and enablement of operational and performance reporting.
• Ensure solutions align with data management principles, technology strategy, and governance standards.
• Work in an Agile environment, adapting quickly to evolving business and technical requirements, tight timelines, and competing priorities.
• Support data driven decision making by enabling timely, well-structured, and trusted data for downstream analytics and reporting teams.
• Identify opportunities to automate manual and repetitive data processes, driving continuous improvement in efficiency, reliability, and maintainability through the effective use of tools, standards, and engineering best practices.
• Apply iterative development practices across all phases of data solution delivery, including data profiling, ingestion, transformation, modeling, cleansing, conforming, enrichment, and aggregation, establishing a strong foundation for downstream reporting and performance insights (limited direct visualization work).
• Ensure the availability, reliability, and integrity of data products through monitoring, controls, and support processes.
• Build strong partnerships with enterprise architecture, infrastructure, application, and technology teams to meet performance, availability, and support expectations.
• Support structured analysis and issue resolution by enabling accessible, well designed data assets and participating in root-cause analysis, triage, and remediation of data quality or pipeline failures.
• Proactively recommend and execute improvements to engineering practices, tooling, and delivery approaches to enhance operational efficiency, solution quality, and long term sustainability of data platforms. What We're Looking For
• Experience designing, building, and maintaining scalable data pipelines and architectures using SQL Server (on premise and private cloud), with a focus on data integration, transformation, validation, and reporting.
• Strong knowledge of data management principles, governance, and technology strategy.
• Experience working in an Agile environment and delivering in fast-paced settings.
• Ability to enable data-driven decision making and provide timely, structured, and trusted data to analytics teams.
• Proactive mindset to automate manual processes and improve efficiency.
• Experience with data profiling, ingestion, transformation, modeling, cleansing, conforming, enrichment, and aggregation.
• Ability to monitor data product availability and integrity and coordinate with cross-functional teams (enterprise architecture, infrastructure, etc.).
• Strong problem-solving skills including root-cause analysis and remediation of data quality or pipeline failures.
• Excellent collaboration and communication skills to work with stakeholders across departments.