• Design and implement scalable cloud solutions using AWS services. • Work with distributed data architecture, focusing on data democratization (Data Mesh). • Develop robust data pipelines in Python and integrate with various sources and destinations. • Collaborate with cross-functional teams in an agile environment. • Build and monitor observability solutions using Datadog (metrics, logs, traces, dashboards). • Contribute to best practices in version control (Git/GitHub), testing, and automation.

• Define and maintain the enterprise cloud architecture roadmap aligned with business objectives and IT strategy. • Lead the design of multi-cloud and hybrid cloud solutions across AWS, Microsoft Azure, and/or Google Cloud Platform (GCP). • Establish architecture standards, patterns, reference architectures, and guardrails for cloud adoption across all business units. • Conduct architecture reviews and provide technical guidance to project teams and engineering leads. • Evaluate emerging cloud technologies and recommend adoption where strategically beneficial. • Develop and enforce cloud governance frameworks, policies, and tagging/cost management standards. • Ensure cloud environments comply with applicable regulations (e.g., SOC 2, ISO 27001, HIPAA, GDPR) and internal security policies. • Partner with Information Security to integrate security-by-design principles into all cloud workloads. • Maintain documentation of architecture decisions (ADRs), infrastructure diagrams, and runbooks. • Oversee and guide enterprise cloud migration initiatives, including lift-and-shift, re-platforming, re-architecting, and retiring workloads. • Lead modernization efforts including containerization (Kubernetes, Docker, etc.), microservices adoption, and serverless architectures. • Collaborate with application teams to assess on-premises workloads for cloud readiness and develop migration plans. • Drive cloud cost optimization strategies including right-sizing, reserved instances, and resource lifecycle management. • Partner with Finance and IT leadership to develop cloud budgets, forecasts, and chargeback/showback models. • Establish KPIs and dashboards to monitor cloud spend, performance, and operational health. • Serve as a trusted advisor to the CTO, IT Sr. Leadership, and business stakeholders on cloud strategy and investment decisions. • Mentor and coach cloud engineers and technical teams; contribute to building internal cloud competency. • Lead cloud Center of Excellence (CoE) working groups and facilitate architectural governance councils. • Collaborate with vendors, managed service providers, and external partners on cloud initiatives.

• Run training sessions, workshops, webinars to help Partners become proficient in Snowflake. • Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake. • Keep Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits. • Run technical enablement programs to provide best practices and solution design workshops to help Partners create effective solutions. • Have a Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging, sharing customer success stories and case studies to showcase the impact of Snowflake. • Have a strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services. • Have conversations with other technologists, providing presentations at the C-level. • Work with large-scale datasets, preprocess them, and create appropriate data representations • Work with partners in building the solution using Python, Snowpark and other open source libraries. • Dockerize their applications and run those Docker images inside Snowflake. • Building industry solutions based on partner and customer requirements. • Building Gen AI-based applications and staying up-to-date with the latest advancements in Gen AI. • Helping partners in deploying ML models in Snowflake.

• Lead the architecture and design of secure, scalable cloud environments supporting enterprise workloads. • Develop reference architectures and engineering standards for cloud infrastructure deployments. • Collaborate with engineering teams to implement infrastructure automation and deployment frameworks. • Guide modernization efforts involving legacy infrastructure migration to cloud environments. • Provide architectural oversight across networking, identity management, and security controls. • Ensure cloud solutions align with federal security frameworks and best practices. • Participate in technical strategy discussions with program leadership and customer stakeholders. • Review engineering designs to ensure performance, resiliency, and operational readiness. • Provide mentorship and technical leadership to cloud engineers and systems engineers. • Support proposal development, technical planning, and architecture documentation as required. • Lead design and implementation of OCI environments using a mature Infrastructure-as-Code platform.