Big Data Support Engineer Lead - Vice President

About the Role

A strategic professional who stays abreast of developments within the field and contributes to directional strategy by applying expertise to the business. Recognized as a technical authority, requiring basic commercial awareness and developed communication and diplomacy skills to guide, influence, and convince others, including colleagues and occasional external customers. This role has a significant impact on the area through complex deliverables and provides advice related to the technology or operations of the business.

Responsibilities

• Lead all aspects of Incident Management, Problem Management, Service Improvements, Monitoring and Observability instrumentation, SRE (Site Reliability Engineering) Frameworks and adoption, Disaster recovery and resiliency, and automation of production services.
• Lead production monitoring and implementation of Observability using AppD, Splunk, Grafana, and other industry-standard monitoring tools.
• Collaborate with development, architecture, and infrastructure teams to lead service improvement plans.
• Support the delivery of L2 Service Delivery and SRE objectives for the business/region.
• Lead the team to achieve service performance targets for the organization, with a strong bias toward automation and SRE frameworks.
• Execute day-to-day service delivery functions, including:
  • Incident Management: Perform incident triage, root cause analysis, and validate business impact.
  • Service Management: Collaborate with the Technology Organization to manage service risk/maturity assessments and drive Service Improvement Plans.
  • Knowledge Management: Develop and test knowledge objects to support increased L0, L1, and L2 resolution.
  • Change Management: Review and approve changes.
  • Capacity Management: Review capacity across service components.
  • Continuity Management: Schedule and facilitate COB testing, maintain recovery plans.
  • Configuration Management: Build and update service configuration.
  • Third Party Asset Management: Manage licensing compliance and optimization.
  • Service Readiness: Review major releases and new application installs early in the project/program to document and remediate risks before production Go Live.
  • Service Risks: Identify, document, and manage service risks within applications and drive resolutions.
  • Monitoring: Collaborate with teams to enable monitoring and observability of production services.

Requirements

• At least 10+ years of hands-on IT experience, with 2+ years in one or more cloud technologies (OpenShift, AWS, or Google Cloud).
• Good understanding of Data Engineering functions, tools, and technologies, including Ab Initio, Big Data, Master Data Management (MDM), and Hybrid Cloud.
• Strong knowledge of CI/CD tools for automated code deployments.
• Strong knowledge of SOAP/REST APIs and Microservices.
• Experience creating Observability Dashboards using Splunk, AppDynamics, ELK, and Grafana.
• Working knowledge of Ansible scripts for automation.
• Track record of successfully triaging issues and driving them to resolution.
• Ability to work under pressure, manage deadlines, and handle unexpected changes in expectations or requirements.
• Availability for "on call" or "shift basis" off-hours production support.
• Ability to handle multiple, competing priorities simultaneously.
• Experience working with offshore and onsite production support teams across multiple organizations.
• Excellent oral and written communication skills.
• Good knowledge of Disaster Recovery processes across data centers.
• Strong analytical and problem-solving skills, with the ability to logically break down tasks.
• Ability to communicate, negotiate, and influence at all organizational levels.
• Effective meeting management, team management, and organizational skills.
• Strong presentation skills, including creating visual presentations using Microsoft PowerPoint.

Qualifications

• Bachelor’s or Master’s degree in Engineering or Computer Science.
• Prior experience in financial services preferred.
• Prior experience in applications development preferred.
• Prior experience in Data Warehouse and Business Intelligence Applications.

Pay

Full-time salary range: $125,760 – $188,640. In addition to salary, eligible employees may receive discretionary and formulaic incentive and retention awards.

Benefits

• Medical, dental, and vision coverage.
• 401(k) retirement plan.
• Life, accident, and disability insurance.
• Wellness programs.
• Paid time off, including vacation, sick leave, and holidays.

Available offerings may vary by jurisdiction, job level, and date of hire.