• Lead and independently execute platform engineering engagements across diverse client environments • Serve as the technical point of contact for complex platform initiatives • Present technical concepts and recommendations clearly to both technical and non-technical stakeholders • Architect and implement production-grade infrastructure solutions, primarily in AWS and Azure • Design and deliver scalable, secure, and sustainable platform solutions • Establish best practices for Infrastructure as Code, CI/CD pipelines, and cloud architecture • Solve complex technical challenges across varied technology stacks and environments • Mentor junior platform engineers, supporting technical growth and career development

• Lead by doing - foster and build a team culture that promotes our value of “Plan, Do, Learn and Improve” and be an active contributor to the development of our platform applications. • Recruit, develop, and retain top engineering talent. • Conduct regular 1:1s and performance reviews to support growth and development. • Lead the design, development, and vision for platform applications and codebases. • Ensure projects are delivered on time, within scope, and aligned with company objectives. • Drive agile processes and establish best practices for engineering workflows. • Collaborate with Product Management, Tech Leads, and Design teams to define technical requirements and product roadmaps. • Guide the team in architecture and technical decisions to increase efficiency towards building pixel perfect applications.

• Serve as a primary platform owner for Sigma, ensuring reliability, performance, secure configuration, and smooth day-to-day operation across multiple Qventus solutions. • Interact regularly with BI vendors, including Sigma, to understand their feature roadmap and how it will impact our ability to provide next-generation analytics to our customers • Develop and maintain reusable Sigma assets, including templates, components, data models, and governance patterns, that allow analytics teams to build consistently and efficiently. • Partner with data engineering teams to ensure dbt pipelines and data models are optimized for downstream analytics consumption • Create and implement standards for dashboard performance and integrity across the analytics platform • Contribute to cross-solution deployment strategies to ensure analytics scale reliably and consistently • Participate in the evaluation and support of AI-assisted analytics tooling, semantic layer technologies, and emerging self-service analytics platforms • Prototype, test, and document new analytics features or AI-driven enhancements that could improve user experience, accelerate insights, or reduce manual effort • Provide technical thought leadership on long-term platform evolution, architectural choices, and cross-tool integration • Provide team leadership in ways that inspire and can help guide others on the team

• Lead scoping and execution of critical improvements to our data platform • Support production ML Ops functionality • Partner strategically with data science, analytics, and data engineering leads • Provide expertise on overall data engineering best practices • Support solution development; translate product / analytical vision into highly functional data pipelines