• Provide hands-on architectural leadership embedded within client teams, from discovery through delivery • Design and implement enterprise-scale cloud architectures, including application infrastructure, integration strategies, and secure deployment patterns • Guide engineering teams on technical trade-offs, architecture decisions, and best practices • Develop cloud adoption roadmaps, including hybrid and migration strategies where applicable • Architect and support highly distributed, scalable systems in cloud environments • Act as a trusted advisor to senior stakeholders, translating complex technical topics into actionable recommendations • Partner with cross-functional teams to proactively manage risks, dependencies, timelines, and technical blockers • Support the design and deployment of AI-enabled and data-driven solutions on GCP

Role Description Tiger Analytics is looking for a highly experienced Infra Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise architecture, and the ability to engage with CXO-level stakeholders to define future-state architectures. This role requires strong consulting, advisory, and technical leadership skills to drive solutioning approaches, and enterprise decision-making. - 18+ years overall experience with 10+ years of Solution Architect experience in Infra space (DnA related) - Thorough knowledge of provisioning infrastructure in relevant technologies with consideration of security, compliance, and consumption requirements - Strong understanding of different Cloud (AWS) IaaS services and platform limitations, focusing on Network and Application security considerations - Define, articulate, and evangelize Cloud Platform Automation activities - Build and maintain tools to automate application and infrastructure deployment, and monitor operations - Hands-on experience with scripting languages such as Python, PowerShell, Ansible, Terraform, Puppet, Bash, and Infrastructure as Code automation using Terraform - Strong experience with creating and modifying JSON configuration files and Terraform - Experience with Databricks - Strong implementation experience using Continuous Planning, Integration, and Deployment tools like AWS DevOps Toolchain, Jenkins, GitHub, Bitbucket, Nexus, Sonarqube, and Containerization technologies like Docker, Kubernetes, Kaniko - Good communication skills and ability to articulate technical issues/requirements - Functionally decompose complex problems into simple, straightforward solutions - Fully understand system inter-dependencies and limitations - Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing deep knowledge and experience - Ability to multi-task and manage multiple projects - Willingness to quickly upskill on new technologies, tools, and paradigms Qualifications - Significant career development opportunities exist as the company grows - Unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment - High degree of individual responsibility Company Description Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

• Lead architecture reviews, workshops, and technical design sessions with engineering teams and executive stakeholders. • Design end-to-end platform architectures integrating Airflow with cloud infrastructure, compute frameworks, and data platforms. • Review delivery work to ensure high standards for scalability, observability, security, and operational excellence. • Diagnose and resolve issues, guide customers through deployments, migrations, and platform modernization. • Build reusable tools, frameworks, reference architectures, and best practices that improve delivery quality across the organization.