Data Engineer, Vice President
Sumitomo Mitsui Banking Corporation13 days ago
Charlotte, NC, USAStaff+
Responsibilities
- Design, develop, and support scalable data pipelines using Databricks, PySpark, Python, SQL, and Delta Lake.
- Build data sourcing and ingestion frameworks for CCAR, stress testing, and regulatory reporting.
- Develop and support platforms for CCAR model execution, including PPNR, balance sheet, and RWA models.
- Implement data quality controls, reconciliation, lineage tracking, and audit capabilities.
- Develop data adjustment, management overlay, business override, and exception management workflows.
- Build attestation, approval, and sign-off workflows for regulatory reporting governance.
- Partner with Finance, Risk, Data Management, Model Development, and Regulatory Reporting stakeholders.
- Apply AI/ML capabilities to data quality monitoring, anomaly detection, intelligent automation, and operational insights.
- Support CI/CD, production releases, troubleshooting, performance tuning, and operational support.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
- 12+ years of experience in Data Engineering, Data Platform Development, or Analytics Engineering.
- Strong hands-on experience with Azure Data Factory, Databricks, PySpark, Python, SQL, Delta Lake, GitHub, and CI/CD.
- Experience building cloud-native and distributed data processing solutions.
- Strong understanding of ETL/ELT architectures, data modeling, data governance, and data quality frameworks.
- Knowledge of AI/ML concepts, machine learning lifecycle management, and model operationalization.
- Preferred experience with CCAR, FR Y-14 regulatory reporting, stress testing, capital planning, risk management, or finance technology initiatives.
- Preferred experience developing data sourcing, reconciliation, model execution, data adjustment, result overlay, attestation, and workflow management solutions.
- Preferred experience with MLflow, Databricks Workflows, Azure SQL, Azure Functions, REST APIs, and Azure Cloud Services.
- Experience migrating analytical models from R to Python and deploying AI/ML solutions into production is preferred.
- Knowledge of model governance, model risk management, audit controls, and regulatory compliance requirements is preferred.
- Experience in highly regulated financial services environments with strong governance and audit requirements is preferred.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
Benefits
- Hybrid workforce model with work-from-home and SMBC office options.
- Employees must live within a reasonable commuting distance of their office location.
- Specific hybrid work schedules are discussed during the interview process.
- Reasonable accommodations are available during candidacy for applicants with disabilities.
About Sumitomo Mitsui Banking Corporation
Sumitomo Mitsui Banking Corporation provides corporate, investment, and commercial banking services—such as lending, capital markets, global trade finance, treasury/FX, and transaction banking—to corporate, institutional, and consumer clients. Headquartered in Tokyo, it is the core banking subsidiary of Sumitomo Mitsui Financial Group (SMFG), one of Japan’s three major banking groups, whose shares trade in Tokyo and as NYSE ADRs (SMFG). SMBC serves clients through a network spanning nearly 40 countries.