• Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL) • Drive decisions across storage, orchestration, data quality, reliability, and performance • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike

• Design, implement, and manage Azure solutions across IaaS, PaaS, and SaaS, including VMs, App Services and Networking. • Deploy and configure key Azure infrastructure services, including Azure Landing Zones, Azure Virtual Desktop, Defender for Cloud and other enterprise platforms. • Architect and deploy secure network solutions on Azure, including VNETs, VPNs, and ExpressRoute. • Implement and manage Azure storage solutions, including Blob, Queue, and Table Storage. • Develop and deploy applications using Azure App Services and integrate with other Azure services. • Utilize Azure DevOps for CI/CD pipelines, monitoring, and automation. • Implement Infrastructure as Code (IaC) using tools like ARM templates or Terraform. • Ensure security best practices are implemented across all Azure services using Azure Security Center and other tools. • Implement and manage containerized applications using Azure Kubernetes Service (AKS). • Stay abreast of the latest Azure services and technologies, ensuring our solutions leverage the latest capabilities.

• The API/Microservices/AWS Software Engineer designs and builds scalable, cloud-based microservices on AWS, using Java and modern DevOps practices. • You’ll partner with architects and teams to deliver reliable, high-performing APIs and services in a fast-paced, Agile environment. • Be involved in designing and building services in a continuous delivery model on a cloud platform. • Partner with leads and architects to help establish a technical vision and deliver innovative services which are consistent, maintainable, and highly scalable for various commerce experiences. • Work within microservices architecture, domain driven design, and RESTful APIs using Java. • Work in a distributed/cloud-based environment, including Amazon Web Services & Kubernetes with high transaction volumes. • Use data structures, algorithms, and architecture patterns. • Define solutions, provide estimates on effort and risk, and evaluate technical feasibility. • Use modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests. • Practice full DevOps to ensure a culture of testing and releasing software on Amazon Web Services continuously using automation and monitoring. • Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security, reliability, availability, maintainability, and performance. • Deliver software in a Scrum development process. • Perform technical code reviews and pair programming. • Partner with other teams to ensure the service ecosystem is loosely coupled and scalable.

• Lead a project team, directing coworker and client teams in solution design and development • Provide leadership in creating business cases, financial justification and solution benefit content for customer ready deliverables and presentations • Proactively addresses or escalates any budget issues that are identified during the project • Quality Assurance for SOW requests that meet triggers for size, cross brand, and complexity • Perform peer review of deliverables from other team members for technical content to ensure accuracy • Maintain client relationships as a trusted Technical Advisor providing best practices for virtualization, high availability, storage integration, and DR/business continuity • Architect, deploy, and integrate VMware Cloud Foundation solutions, including comprehensive use of VCF Operations and VCF Automation • Collaborate with sales and solution architects to design VCF solutions tailored to customer requirements