JOB DESCRIPTION

The primary responsibility of this role is to design and engineer resilient enterprise data platforms, both on-premises and in a multi-cloud hybrid environment, guided by the principles of a well-architected framework.
This is an individual contributor role that requires collaboration with cross-functional teams across the company to ensure platforms are built for adoption with high standards of performance, scalability, and cost optimization, while leveraging emerging technologies in the data ecosystem.
The person in this role will support the Data Engineering and Services team’s objective to architect and engineer highly resilient and available data platforms in a global multi-cloud hybrid environment.

WHAT YOU’LL BE DOING

• Support application modernization and lead database migrations from on-premises to cloud environments.

  • Stay current with industry trends and evaluate competitive advantages of emerging technologies, patterns, and methodologies.
  • Drive the creation of technology roadmaps and maintain product portfolio components.
  • Collaborate with product owners, enterprise architects, business SMEs, and various application teams.
  • Act as a Level 3 support resource for high-priority database-related incidents.
  • Provide mentorship to onsite and offshore resources regarding cloud database technologies.
  • Support internal and external audit requests related to databases.
  • Guide teams in upgrading databases to newer versions and applying security patches.
  • Collaborate proactively to ensure database reliability, enforce robust security measures, and conduct strategic capacity planning to support scalable and resilient infrastructure.
  • Communicate complex technical concepts effectively and align stakeholders on key decisions.
  • Design and implement automated infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation, ensuring consistency, scalability, and repeatability across environments.
  • Lead efforts to modernize legacy database systems and migrate workloads to cloud-native platforms, leveraging automated pipelines and IaC for deployment.
  • Implement observability tools to monitor database performance and system health, including setting up alerts, dashboards, and logs using tools like Prometheus, Grafana, CloudWatch, and LogicMonitor.
  • Support the Data Engineering team’s objective to architect and engineer resilient, cost-optimized data platforms in a multi-cloud hybrid environment.
  • Develop, implement, and regularly test database backup, recovery, and disaster recovery plans to ensure business continuity.
  • Create scripts and procedures to automate routine maintenance tasks such as backups, patching, and monitoring.