VP, Data Engineer

VP, Data Engineer

Job Level: Vice President Job Function: IT and Digital Development Location: Charlotte, NC, US Employment Type: Full Time The anticipated salary range for this role is between $158,000.00 and $205,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

Role Description: We are currently seeking a talented and motivated Senior Data Engineer to join our Cloud data solutions team. This role will be responsible for designing, developing & deploying cloud data solutions for risk, regulatory, finance & compliance projects and be at the forefront of on-prem to cloud migration initiative. This role will require indirect leadership and mentorship of junior team members. Work with business teams, product managers, and other stakeholders to understand business requirements, needs, or process gaps that would be addressed via proposed applications. Engage with IT systems architects, database administrators, and cyber security team to meet the back-end functionality demands of the application. Liaise with other technology and development teams as needed to coordinate on the integration of applications with the larger company software ecosystem. Participate in periodic development meetings to align development priorities and objectives, assign tasks, and share experiences and challenges with applications under development.

Qualifications and Skills: Extensive experience on Cloud solutions, specifically in Azure Experience with Azure cloud services, Azure Data Factory, Gen 2, Azure Databases, Functions, Databricks, etc Strong knowledge of Python, Java or similar high-level server-side languages Advanced working SQL knowledge on relational databases, preferably on MS SQL Server and databases on Azure cloud Experience with the DevOps lifecycle (git, Jenkins, etc.) Experience with Jira/Confluence Experience with REST web services and microservice architecture Databricks Cluster configuration, Unity catalog repository configuration. Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions. Coordinating with platform, APIM, Azure DevOps, and Support. Analyze and design technical solutions on Azure to address business needs. Develop, test, and modify software to improve efficiency of data platforms and applications. Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Enable streaming data use-cases and standard design patterns in a big data environment. Review and provide feedback on core code changes and support production deployment. Minimum 4 years of software development experience in enterprise applications, preferably in the financial services industry and on data-heavy systems. Bachelor's or master's degree in computer science or information systems preferred.