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Senior Data Engineer - Vice President
SMBC Group
- United States
- United States
À propos
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 organization’s extensive global network. The Group’s 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 The VP, Senior Data Engineer is a critical role within the Information Security department and will report to the Director, Information Security Data Operations for the SMBC Americas Division. This VP role will be responsible for designing, developing & deploying cloud data solutions for ISDAD. It is part of the overall cyber data initiative focusing on building out the security and risk data platform for Information Security. The individual will develop the data feeds and will be a part of the larger effort of building out a Cybersecurity Data Lakehouse (CyberDW).
The goal of the CyberDW is to centralize the ISDAD data as well as establish effective data governance around the data sources and its data lineage. This role will collaborate with developers, data owners, governance leads and business analysts within the Information Technology (IT) department as well as other stakeholders aligned with the applications owned by ISDAD.
Role Objectives
Design, develop, test & support cloud data solutions for the CyberDW catalogue focusing on data ingestion, data quality, tuning and performance of upstream cybersecurity data sources.
Provide indirect leadership and mentorship of junior team members.
Lead data feed development efforts and design initiatives.
Participate in development meetings to align priorities and objectives, assign tasks, and share experiences and challenges.
Consult with other technology and development teams as needed to coordinate integration of applications with the larger company software ecosystem.
Capture and document metadata for identified Key Data Elements (KDEs) to ensure accuracy and completeness for Data Quality (DQ) rules and daily dataset processing.
Work with the data architecture team to align KDEs to the logical data models, develop physical data structures, and document physical data names, definitions, and data types.
Partner with the data owners and stakeholders to create technical requirements and DQ rules around data elements needed in the CyberDW.
Partner with the Business Management team and Data Owners to understand critical metrics and data fields needed for Metric Dashboards.
Establish CyberDW views to encapsulate data so that it is fit for downstream consumption.
Ensure that data aligns with DQ rules established on the metadata, so it is fit for daily use.
Utilize IBM TWS production job scheduling system and adhere to standards around daily scheduling and batch monitoring of production jobs.
Identify and resolve DQ issues including inaccuracies and incomplete information.
Enhance data quality efforts by implementing improved procedures and processes.
Qualifications And Skills
Bachelor’s degree in Computer Science, Information Security, Data Management, or related field.
10+ years’ experience in IT development, data governance, data architecture or related roles, preferably in a highly regulated environment such as financial services.
Strong knowledge of CI/CD and DevOps tooling (Git, Jenkins, Azure DevOps).
Strong knowledge of Azure Databricks, Azure Data Factory, Azure Functions, Azure Data Lake storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Unity catalog repository configuration.
Proficiency in data management & data modelling tools (Collibra DQIM/DQE, IBM Infosphere DA).
Proficiency in SQL Server, Oracle/PL-SQL, T-SQL and SQL stored procedures.
Proficiency in Python, Java or similar high-level server‑side languages.
Strong knowledge of enterprise Information Security data (Phishing, Identity Management, Privileged Access, Cloud Security, Incident Response, Vulnerability Management, Threat Detection).
Data knowledge of PaaS/SaaS products (ServiceNow, Crowdstrike, MS Purview, Proofpoint, WIZ.IO, JIRA, SharePoint, Azure Active Directory, SAI360).
Knowledge of Microsoft Sentinel for security information and event management (SIEM) is a plus.
Understanding of information security frameworks (NIST, CIS, CRI Profile) and regulatory compliance (NYSDFS, GDPR, CCPA).
Experience with REST API web services and microservice architecture.
Strong understanding of ETL/ELT.
Knowledge of IBM Tivoli Workload Scheduler a plus.
Exposure to PowerBI for data visualization and reporting is a plus.
Problem‑solving and analytical skills, with an initiative‑taking and results‑oriented approach.
Additional Requirements SMBC’s 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 accommodations@smbcgroup.com.
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Compétences linguistiques
- English
Avis aux utilisateurs
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