Sumitomo Mitsui Banking Corporation – SMBC Group

Vice President, Data Engineer

Sumitomo Mitsui Banking Corporation – SMBC Group

full-time

Posted on:

Location Type: Hybrid

Location: CharlotteNorth CarolinaUnited States

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About the role

  • Design, develop, testing & support of cloud data solutions for the CyberDW catalogue focusing on insider risk data ingestion, data quality, data tuning and performance of upstream cybersecurity and other data sources.
  • Indirect leadership and mentorship of junior team members.
  • Able to lead data feed development efforts and design initiatives.
  • Participate in development meetings to align development priorities and objectives, assign tasks, and share experiences and challenges with applications under development.
  • Consult with other technology and development teams as needed to coordinate on the 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 processing of daily datasets.
  • 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 the data elements needed in the CyberDW.
  • Partner with the Business Management team and Data Owners to understand what critical metrics and data fields are needed for Metric Dashboards.
  • Establish CyberDW views to encapsulate the data so that it is fit for downstream consumption.
  • Ensure that the data aligns with DQ rules established on that metadata, so it is fit for daily use.
  • Identify and resolve DQ issues including inaccuracies and incomplete information.
  • Enhance data quality efforts by implementing improved procedures and processes.

Requirements

  • 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 (i.e., 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
  • Proficient in data management & data modeling tools (e.g., Collibra DQIM/DQE, IBM Infosphere DA).
  • Proficient in SQL Server, Oracle / PL-SQL, T-SQL and SQL stored procedures
  • Proficient in Python, Java or similar high-level server-side languages
  • Strong knowledge of enterprise Information Security data (i.e., Phishing, Identity Management, Privileged Access, Cloud Security, Incident Response, Vulnerability Management, Threat Detection).
  • Data knowledge of PaaS/SaaS products (i.e., 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 (i.e., NIST, CIS, CRI Profile) and regulatory compliance (i.e., 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.
Benefits
  • SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law.
  • Prospective candidates will learn more about their specific hybrid work schedule during their interview process.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data ingestiondata qualitydata tuningdata governancedata architectureSQL ServerOraclePythonJavaETL/ELT
Soft skills
leadershipmentorshipproblem solvinganalytical skillsinitiative-takingresults oriented