VP, Data Engineer

Role Description Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Design and implement highly performant data ingestion pipelines from multiple sources using Azure Databricks. Direct experience building data pipelines using Azure Data Factory. Develop scalable and reusable frameworks for ingesting datasets. Design and develop ETL, data integration, and data migration solutions. Partner with architects, engineers, information analysts, business, and technology stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions. Integrate end-to-end data pipelines to move data from source systems to target repositories, ensuring quality and consistency. Work with event-based/streaming technologies to ingest and process data. Collaborate with project team members to support delivery of additional components such as API interfaces and search. Evaluate performance and applicability of multiple tools against customer requirements. Qualifications and Skills Experience with ADLS, Azure Databricks, Azure SQL DB, and Data Warehouse. Strong implementation expertise in Azure Data Factory, Azure Data Analytics, Azure Data Lake, Azure Data Catalogue, and Logic Apps. Knowledge of Azure Storage services (ADLS, Storage Accounts). Expertise in designing and deploying data applications on Azure cloud solutions. Hands‑on experience in performance tuning and optimizing code in Databricks environments. Good understanding of SQL, T‑SQL, and/or PL/SQL. Experience working in Agile projects with knowledge of Jira. Preferred: experience with Data Ingestion projects in Azure environments. Demonstrated analytical and problem‑solving skills in big data contexts. Experience with Python scripting; Spark SQL or PySpark is a plus. SMBC’s employees participate in a Hybrid workforce model that allows working from home as well as from an SMBC office. Employees must live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during the interview process. Hybrid work may not be permitted for certain roles, including some FINRA‑registered roles requiring in‑office attendance for the entire workweek. SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at View email address on click.appcast.io. #J-18808-Ljbffr SMBC