Sr. Global Data Engineering Lead Python
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history SMBC Group offers a diverse range of financial services including banking leasing securities credit cards and consumer finance. The Group has more than 130 offices and 80000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group Inc. (SMFG) is the holding company of SMBC Group which is one of the three largest banking groups in Japan. SMFGs shares trade on the Tokyo Nagoya and New York (NYSE: SMFG) stock exchanges.
In the Americas SMBC Group has a presence in the US Canada Mexico Brazil Chile Colombia and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia the Group offers a range of commercial and investment banking services to its corporate institutional and municipal clients. It connects a diverse client base to local markets and the organizations extensive global network. The Groups operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC) SMBC Nikko Securities America Inc. SMBC Capital Markets Inc. SMBC MANUBANK JRI America Inc. SMBC Leasing and Finance Inc. Banco Sumitomo Mitsui Brasileiro S.A. and Sumitomo Mitsui Finance and Leasing Co. Ltd.
Role Description
SMBC is in the process of leading Digital Transformation across our Americas Division as we continue to modernize our technology focus on our data driven approach grow and plan. As a result of this expansion we are seeking an experienced and seasoned Data engineering lead for Data Quality & Governance as a part of the Data Management group. As the VP of Sr. Global Data Engineering Lead - Python within AD technology and Chief Data & Analytics office you will lead the development and delivery of innovative data solutions that promote the firms Data Governance and Regulatory this strategic role you will oversee large-scale projects mentor technical teams and collaborate with product technology and data partners to advance our Collibra cloud data platforms and engineering practices. You will also have responsibilities for administrative tasks such as attendance timesheets resource planning and performance reviews.
Role Objectives
- Own and execute the global data engineering strategy aligning Pythonbased platforms and data pipelines with business regulatory and reporting priorities.
- Provide endtoend accountability for enterprisescale data engineering solutions including backend services APIs and cloudnative data pipelines.
- Set and govern enterprise architecture standards for scalable resilient secure and highperformance data platforms.
- Lead technical direction for Python engineering using Django Flask and FastAPI driving adoption of RESTful eventdriven and serviceoriented architectures.
- Establish and enforce coding standards design patterns testing practices and CI/CD pipelines to ensure quality maintainability and delivery speed.
- Oversee integration with data lakes data warehouses analytics platforms and AI/ML ecosystems to support enterprise use cases.
- Partner with infrastructure security and cloud governance teams to ensure secure compliant and costefficient platform operations.
- Ensure strong engineering discipline across automated testing code reviews quality gates performance tuning and production stability.
- Drive innovation and modernization by evaluating and adopting new technologies automation and reusable platform capabilities.
- Own delivery of businesscritical and regulatory data engineering initiatives managing crossregion dependencies and multiyear roadmaps.
- Lead Agile and hybrid delivery execution including JIRA epics backlog grooming prioritization sprint planning and release management.
- Monitor delivery health velocity risks and dependencies taking corrective action to ensure predictable and on-time outcomes.
- Own cloudbased platforms across Azure or GCP ensuring secure compliant and costefficient operations.
- Ensure production stability through strong engineering discipline incident management rootcause analysis and proactive technical debt management.
- Lead vendor and strategic partner management including selection performance oversight contract alignment and thirdparty risk coordination.
- Build and retain highperforming global data engineering teams mentoring senior leaders and strengthening longterm technical capability.
Required Qualifications:
- 8 years of experience in Financial Services within enterprise or regulated environments.
- 10-15 years of experience in data governance data management data engineering or enterprise technology roles including 5 years leading technology teams.
- Hands-on application development experience using Python (streamlit django) including automated unit testing and production support.
- Handson experience with Azure cloud Kubernetes OpenShift and ArgoCD in production environments.
- Strong understanding of regulatory frameworks including FRB regulatory reporting Volcker Rule BCBS 239 and GDPR.
- Proven experience in banking or financial services preferably supporting regulatory reporting risk credit or finance domains.
- Handson expertise with Collibra Data Intelligence Platform and Collibra Data Quality including architecture installation configuration and enterprise rollout.
- Endtoend delivery experience covering system design development testing deployment and operational stability with emphasis on Pythonbased platforms.
- Experience with DevOps and CI/CD tools including GitHub or Bitbucket Jenkins and artifact repositories (PyPI or Maven).
- Bachelors degree in computer science MIS Engineering or related field or equivalent experience.
Preferred Qualifications
- Relevant certifications such as Azure Solutions Architect Expert Certified Kubernetes Administrator (CKA) Collibra Certified Expert or Databricks.
- Experience with AI/ML frameworks and Agentic AI applications for data governance data quality or automation use cases.
SMBCs employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home as well as from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles including for example certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
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
Required Experience:
Senior IC
