VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
Responsibilities
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.
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