Data Warehouse Architect

Job Description

About the Company Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we?re transforming the meetings and events industry through innovative technology that powers the human connection. The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship ? a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections. About the Role - Looking for an IT Professional with 4-12 years of hands-on Snowflake Data Cloud experience to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts. Key Responsibilities: Architect and deliver end-to-end data solutions on Snowflake. Demonstrate deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data. Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing). Use Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation. Develop and manage API-based integrations and automation. Lead data governance, quality, security, and compliance efforts. Optimize performance and manage costs. Oversee Snowflake infrastructure provisioning, scaling, and monitoring. Act as primary stakeholder contact; drive meetings and translate business needs. Foster innovation in data architecture, analytics, and AI-driven solutions. Collaborate with cross-functional teams. Stay current on Snowflake advancements, especially AI features like Cortex. Proactively perform POCs for new Snowflake features & drive adoptions. Leverage data lake frameworks & serverless technologies Qualifications : Bachelor?s/master?s in computer science, IT, or related field. 7-12 years of Snowflake Data Cloud experience. Deep understanding of Snowflake architecture and ecosystem. Strong grasp of data warehousing concepts and diverse data structures. Expertise in Snowflake native load utilities. API integration and automation experience. Data governance, security, and compliance background. Performance optimization and cost management skills. Experience with Snowflake infrastructure management. Excellent communication and stakeholder management. Innovative, AI-driven mindset. Hands-on Python for data engineering/automation. Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex). Experience with data lake frameworks and serverless technologies. Preferred Familiarity with data modelling, Python, Pyspark and warehousing best practices. Exposure to MLOps, AI/ML pipelines, or deploying AI models. Snowflake or relevant cloud certifications.