Senior Banking Data Engineer

Washington Trust is seeking an accomplished and forwardthinking Senior Banking Data Engineer to support and advance the organizations enterprisewide data and analytics capabilities. As a key member of our Management Information Systems (MIS) function the Senior Banking Data Engineer will design build and modernize scalable data platforms that power decisionmaking across all business lines and corporate role serves as a technical leader and trusted partner to stakeholders throughout the enterprise driving the evolution of our cloudbased data environment ensuring data quality and governance and enabling advanced analytics reporting and business intelligence solutions. The Senior Banking Data Engineer will play a critical role in shaping Washington Trusts data architecture strategy mentoring team members and delivering innovative solutions that support operational excellence customer insights and enterprise is a hybrid position with periodic on-site work in our office in Westerly ResponsibilitiesServe as the primary architect and builder of Washington Trusts modern data ecosystem establishing the foundational patterns standards and frameworks for all future data engineering as the technical authority for data engineering providing architectural direction and influencing data strategy across technology and business modernization initiatives using Azure Data Services and Microsoft implement and maintain scalable data models data lakes data warehouses and semantic layers that support enterprise data develop and optimize endtoend data ingestion transformation and integration pipelines spanning multiple business with leaders and teams across the organization to understand data needs and translate business requirements into robust technical a dataproduct mindset creating reusable governed and welldocumented data assets that support analytics risk finance and and deploy high-performing maintainable code using SQL TSQL Continuous Integration / Continuous Deployment pipelines and DevOps best practices to improve efficiency reliability and automation across data data quality by implementing standardized validation rules lineage tracking and monitoring support and enhance enterprise data visualization and reporting solutions using Power BI including dataset creation semantic modeling and dashboard with Enterprise Risk & Technology teams to uphold data standards regulatory expectations and protection change management protocols ensuring deployments enhancements and modifications follow approval workflows documentation standards testing processes and compliance analysts developers and data users to elevate data literacy and engineering practices degree in computer science data science information technology or a related degree or relevant certifications (Azure Data Engineering Cloud Architecture) is a Experience7 years of progressive data engineering experience preferably in banking financial services or regulated industries. Deep expertise in Azure data services (ADF Synapse ADLS Azure SQL) and strong familiarity with Microsoft experience designing and integrating APIs Logic Apps Functions SaaS systems and modern cloud data proficiency in SQL/TSQL and Python for data engineering automation and understanding of data modeling (dimensional relational domaindriven) warehousing concepts and performance delivering enterprise BI solutions using Power BI including models datasets and governance with DevOps practices including automated builds testing and ability to translate complex enterprise data needs into scalable architecture and efficient engineering solutions. Strong knowledge of data governance metadata management data lineage and data quality frameworks. Familiarity with AI/Machine Learning concepts and cloudenabled analytics tools (Azure ML Fabric Data Science experiences). Exceptional problemsolving analytical and criticalthinking communicator capable of engaging with executives technical teams and diverse business leader with an ownership mindset and a passion for innovation and continuous improvement. Comfortable operating in a fastpaced evolving environment where enterprise data capabilities are growing : A goodfaith reasonable estimate of the base salary range for this role is $165000 to $195000 per year and the actual offer will depend on factors such as experience skills training certifications and base salary reflects one component of our competitive compensation package. This position may be eligible for an annual bonus and includes a comprehensive benefits package.