Cvent
From Cvent's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We’re looking for candidates who are eager to evolve alongside technology.
Our Culture and Impact
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ customers worldwide, including 60% 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.
Cvent's strength lies in its people, fostering a culture where everyone is encouraged to think like entrepreneurs, taking risks and making decisions confidently. We value diverse perspectives and celebrate differences, working together with colleagues and clients to build strong connections.
AI at Cvent: Leading the Future
Are you ready to shape the future of work at the intersection of human expertise and AI innovation? At Cvent, we’re committed to continuous learning and adaptation—AI isn’t just a tool for us, it’s part of our DNA. We’re looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you’ll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.
Throughout our interview process, you’ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you’re excited to be part of a team that’s leading the way in AI-powered collaboration, we’d love to meet you.
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
optimize, and secure our enterprise data platform across Cvent's portfolio of products. The ideal candidate will
have strong hands-on experience with Snowflake as a primary platform, complemented by proficiency in cloud
database technologies — with at least one being a relational database — and a strong desire to manage
database technologies of all types. The candidate should also be familiar with Infrastructure as Code and other
automation for managing databases at scale.
As a Senior Database Engineer at Cvent, you will collaborate with development and data engineering teams to
implement, optimize, and secure the data stores powering Cvent's products. You will build and use automation
capable of managing enterprise-scale Snowflake environments while maintaining Cvent's standards and best
practices. You will also help us continuously evaluate and improve those standards to ensure we provide the
most resilient, scalable, performant, and secure database platforms possible
Bachelor's degree in Computer Science, Information Technology, or a related field
Experience managing highly available databases in AWS (Aurora, RDS, Redshift, or DynamoDB)
Expertise in Python or PowerShell scripting for automation and pipeline support
Familiarity with AI/ML integrations — Snowflake Cortex, AWS SageMaker, or AWS Bedrock
Experience with document store technologies such as MongoDB or Couchbase
Exposure to Snowflake Data Marketplace and cross-account data sharing architectures
Experience with streaming data ingestion into Snowflake via Kafka, Kinesis, or Snowpipe Streaming
We are not able to offer sponsorship for this position
Physical Demands
Bachelor's degree in Computer Science, Information Technology, or a related field
Experience managing highly available databases in AWS (Aurora, RDS, Redshift, or DynamoDB)
Expertise in Python or PowerShell scripting for automation and pipeline support
Familiarity with AI/ML integrations — Snowflake Cortex, AWS SageMaker, or AWS Bedrock
Experience with document store technologies such as MongoDB or Couchbase
Exposure to Snowflake Data Marketplace and cross-account data sharing architectures
Experience with streaming data ingestion into Snowflake via Kafka, Kinesis, or Snowpipe Streaming
We are not able to offer sponsorship for this position
Physical Demands
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