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Cvent

Senior Database Engineer (Snowflake)

UNAVAILABLE, Fredericton, NB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Sep 11, 2027
Experience: 4–7 years of experience in database or data platform engineering, with at least 3 years of hands-on
Posting language: English
Posted: Sep 11, 2026

Original job description

Overview:

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.

About the Role

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

In This Role, You Will:

Design, develop, and manage Snowflake data platforms on AWS, including warehouse sizing, clustering,
resource monitors, data sharing, and multi-cluster configurations
Architect and optimize Snowflake environments - virtual warehouses, storage layers, role-based
access control (RBAC), and cost optimization strategies
Collaborate with cross-functional teams to understand data requirements and ensure databases and
data platforms meet organizational needs
Implement and manage database security policies, including Snowflake RBAC, dynamic data masking,
row-level security, access control, encryption, and backup and recovery procedures
Monitor database and platform performance and troubleshoot issues across Snowflake and supporting
AWS database services
Optimize query performance through schema design, clustering keys, materialized views, query
profiling, and indexing strategies
Ensure backup, disaster recovery, and time-travel procedures are in place, tested, and aligned with
business RTO/RPO requirements
Develop and maintain database documentation, including data dictionaries, data models, Snowflake
object inventories, and technical specifications
Automate database provisioning and management using Infrastructure as Code tools (Terraform,
CloudFormation, or AWS CDK) and scripting (Python, PowerShell, or Bash)
Support AWS database services including Aurora, RDS (PostgreSQL/MySQL), Redshift, and
DynamoDB as complementary platforms to Snowflake
Stay current with Snowflake releases, AWS database innovations, and AI/ML integrations (e.g.,
Snowpark, Snowflake Cortex, AWS Bedrock) and evaluate new capabilities for adoption

Here's What You Need:

Bachelor's degree in Computer Science, Information Technology, or a related field
4–7 years of experience in database or data platform engineering, with at least 3 years of hands-on
Snowflake administration
Deep expertise in Snowflake, including:
– Virtual warehouse management and cost optimization
– Snowflake security model (RBAC, data masking, network policies)
– Data sharing, replication, and failover groups
– Snowpipe, Tasks, Streams, and change data capture patterns
– Performance tuning via query profiling, clustering keys, and materialized views
Experience managing highly available databases in AWS (Aurora, RDS, Redshift, or DynamoDB)
Expertise in Python or PowerShell scripting for automation and pipeline support
Deep understanding of database security principles - encryption, access control, auditing, and
compliance frameworks (SOC 2, HIPAA, or GDPR)
Experience with Infrastructure as Code (Terraform, AWS CloudFormation, or AWS CDK) for consistent,
repeatable deployments
Familiarity with ETL/ELT orchestration tools such as dbt, Apache Airflow, or AWS Glue in the context of
Snowflake data pipelines
Strong understanding of SQL and data modeling principles, including normalization, dimensional
modeling, and schema design

Nice to Have:

Snowflake certifications: SnowPro Core or SnowPro Advanced (Architect, Data Engineer, or
Administrator)
AWS certifications: AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or AWS
Certified Database Specialty
Experience with Snowpark (Python or Java) for in-platform data transformation and ML feature
engineering
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

This job posting is intended to comply with all applicable laws. If we learn during the course of our recruitment process that, due to an applicant’s location, further information about the position is required, including certain salary information, this information in this posting will be supplemented accordingly.

The estimated base salary range for new hires into this role is $120,000 - $140,000 annually + bonus depending on factors such as job-related knowledge, relevant experience, and location. We also offer a competitive benefits package, details of which can be found here.

Hybrid: 2 days in office

We are not able to offer sponsorship for this position

Physical Demands

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More about this job

Responsibilities

The Senior Database Engineer will design, manage, and optimize enterprise-scale Snowflake data platforms on AWS. They will collaborate with cross-functional teams to implement security policies, automate database provisioning, and ensure high performance and scalability.

Requirements

Candidates must have a bachelor's degree and 4-7 years of experience in database engineering, with at least 3 years of hands-on Snowflake administration. Proficiency in AWS database services, Infrastructure as Code tools, and scripting languages like Python or PowerShell is required.

Skills

Snowflake
AWS
Python
PowerShell
Terraform
CloudFormation
SQL
Data modeling
RBAC
Performance tuning
Database security
Infrastructure as Code
ETL/ELT
Snowpipe
Database administration

Benefits

Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
AWS
Database Engineering
Python
PowerShell
Terraform
CloudFormation
SQL
Data Modeling
RBAC
Performance Tuning
Infrastructure as Code
ETL
ELT
Snowpipe
Aurora
RDS
Redshift
DynamoDB
Snowpark
Cortex
Data Security
Disaster Recovery
Automation
Cloud Computing
Database Administration
SOC 2
HIPAA
GDPR
Data Pipelines

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