Jobs at Silicon Valley Bank

Designs, builds, and maintains enterprise data platforms, data warehouses, data lakes, and ingestion pipelines. Develops reusable Python-based ETL/ELT frameworks using Snowflake, dbt, AWS, Airflow, and related tools. Responsibilities include SQL and pipeline performance tuning, data modeling, governance, security, production incident support, impact analysis, and collaboration with global Agile technology teams.

Monitor a commercial credit portfolio by analyzing borrower financial statements, tracking covenants, calculating borrowing bases, reviewing reporting packages, and identifying emerging risks. Prepare portfolio reports, maintain client data, escalate potential credit issues, support process improvements, and collaborate with U.S.-based credit officers and portfolio managers. The role also includes quality assurance, workflow support, and mentoring junior analysts.

Leads enterprise data modeling and architecture initiatives, designing scalable conceptual, logical, and physical models across business domains. Establishes modeling standards, data governance frameworks, metadata practices, and data quality controls. Guides cloud data platform and data modernization efforts using Data Vault, dimensional, semantic, and lakehouse modeling. Advises senior stakeholders, integrates diverse data sources, ensures regulatory compliance, mentors modeling teams, and drives adoption of enterprise data architecture best practices.

Leads the design, development, and maintenance of enterprise data platforms, data lakes, warehouses, marts, and scalable ETL/ELT pipelines. Responsibilities include data integration, ingestion, SQL and pipeline performance tuning, data modeling, governance, security, automation, impact analysis, release coordination, incident support, and technical risk management. The role leads data engineering associates, collaborates with product owners and global technology teams, and supports critical banking functions including finance, risk, regulatory reporting, and customer analytics.

Manage and optimize Workday Core HCM, Security, Reporting, worker lifecycle processes, compensation and organizational data. Configure business processes, access controls, reports, dashboards, and analytics solutions. Translate HR and business requirements into technical solutions, support releases and upgrades, and collaborate with stakeholders to improve HR operations and automation.

Leads security operations threat monitoring and complex incident investigations across enterprise, cloud, network, endpoint, identity, and application environments. Investigates malware, phishing, ransomware, insider threats, account compromises, and advanced persistent threats; improves SIEM, SOAR, EDR, detection logic, and alerting; operationalizes threat intelligence; supports incident response, threat hunting, automation, audits, and compliance; and mentors junior SOC analysts.

Lead the design, development, testing, deployment, and support of middleware and backend REST APIs for a next-generation online banking platform. Own features end-to-end in a fast-paced Agile team, mentor junior developers, automate processes, resolve production performance issues, and collaborate with product, architecture, security, and cross-functional stakeholders.

Leads engineering and operations for Identity and Access Management services, including installation, configuration, troubleshooting, application integrations, lifecycle workflows, custom connectors, automation, production changes, and Level 3 support. Documents runbooks, ensures security and audit compliance, contributes to architecture and technology evaluations, and mentors team members. The role requires extensive Java full-stack development, cloud and containerization experience, IAM platform customization, and expertise with SailPoint and related identity technologies.

Own the vision, roadmap, backlog, and delivery of an enterprise Master Data Management platform. Define requirements for customer and party master data, golden records, match and merge, survivorship, hierarchies, data quality, governance, and integrations. Partner with business, architecture, engineering, compliance, and data governance teams to deliver trusted data capabilities. Lead Agile planning, requirements refinement, testing, release validation, stakeholder communications, and regulatory alignment.

Leads enterprise valuation analysis and Credit Administration teams in India, overseeing valuation methodologies, complex financial models, reporting, governance, controls, data quality, and operational delivery. Partners with U.S. leaders to develop strategy, manage risks, improve credit portfolio analytics, and build team capabilities. Requires extensive enterprise valuation experience, people leadership, financial modeling expertise, and knowledge of DCF, market multiples, and valuation standards.

Lead enterprise workstation patch management, vulnerability remediation, and compliance across Windows environments. Deploy operating system and third-party patches using BigFix and MECM, troubleshoot complex escalated issues, automate administrative tasks with PowerShell, monitor patch health, and produce compliance reporting. The role also maintains security standards, collaborates with vendors and internal teams, follows ITIL processes, and mentors junior engineers.

Supports complex, business-critical applications through incident and problem management. Troubleshoots application defects, data errors, configuration issues, and alerts; performs root-cause analysis using logs and data; documents solutions; validates production changes; collaborates with cross-functional teams; and identifies automation and continuous-improvement opportunities. The role operates in a rotational 24/7 support environment and requires understanding of application dependencies and end-to-end business processes.

Leads an enterprise fraud detection team responsible for identifying and preventing fraudulent activity, managing investigations, meeting service-level agreements, and maintaining quality and regulatory controls. Oversees hiring, coaching, staffing, performance management, training, process improvements, technology initiatives, and executive reporting. Partners with internal stakeholders and technical teams to improve fraud detection effectiveness, resolve sensitive issues, and drive scalable, compliant operations.

Leads fraud risk data analysis, statistical model development, validation, implementation, monitoring, and model risk management across digital and payment channels. Oversees governance, documentation, change management, issue remediation, regulatory engagement, and effective challenge. Partners with senior stakeholders to shape fraud strategy, communicate model findings, and improve fraud prevention while maintaining data quality, compliance, and strong governance.

Responsible for accurate US regulatory reporting, including Call Reports and FR Y reports, with a focus on loan data. Duties include data analysis using SQL, issue identification and remediation, controls and documentation, regulatory compliance, automation, data migration, stakeholder metrics, audits, and cross-functional project delivery. The role requires knowledge of banking products, loans, US GAAP, accounting policy, and regulatory reporting processes.

Lead 24x7 response to P1/P2/P3 infrastructure incidents, coordinating global teams across servers, networks, databases, storage, cloud, security, and containers. Drive bridge calls, escalations, service restoration, executive communications, post-incident reviews, root-cause analysis, corrective actions, reporting, KPI tracking, ITIL governance, and continuous service improvement. The role also identifies automation opportunities and supports operational reliability across enterprise technology platforms.

Lead the design, development, and maintenance of enterprise data platforms, data lakes, warehouses, and scalable ETL/ELT pipelines. Build Snowflake and AWS solutions, implement data governance, RBAC, quality controls, observability, and performance optimization. Lead developers through design reviews, releases, incident resolution, automation, risk management, and delivery planning while collaborating with product owners and global technology teams.

Lead the design and maintenance of CI/CD pipelines, infrastructure as code, cloud operations, configuration management, Snowflake deployments, monitoring, and automation across AWS and Azure. Develop Python tooling, support disaster recovery and high availability, optimize infrastructure and deployment workflows, and lead data engineering associates while collaborating with global technology teams.

Leads technical solution delivery for ServiceNow CMDB and CSDM initiatives, including integrations, customizations, workflow automation, and data processing. Maintains CMDB schema and foundation data integrity while developing APIs, connectors, business rules, and platform enhancements. Collaborates with developers, architects, and cross-functional stakeholders within Agile and SDLC frameworks, contributing to roadmaps, sprints, user stories, and retrospectives. Supports ITIL-aligned configuration management and continuous improvement across global IT operations.

Manage and maintain the ServiceNow CMDB, including configuration items, relationships, Discovery, and asset data. Conduct audits, reconciliation, and CMDB health monitoring to resolve data-quality issues. Develop policies, standards, procedures, documentation, and data dictionaries. Collaborate with IT, Security, Legal, Engineering, and ITSM teams to integrate CMDB with Incident, Problem, Change, and Asset Management processes. Support platform enhancements and promote IT hardware lifecycle compliance and process improvement.