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# Database Engineer

- **Company:** Cvent
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, ARM Architecture, Backup Devices, Bash Shell, Cloud Database, Computer Networks, Databases, Couchbase Servers, Data Dictionary, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Masking, Data Transformation, Data Sharing, Data Stores, Relational Databases, Database Security, DevOps, Dimensional Modeling, Disaster Recovery, Amazon DynamoDB, Python (Programming Language), PostgreSQL, MongoDB, MySQL, Performance Tuning, Windows PowerShell, Role-Based Access Control, SQL Databases, Data Streaming, Workflow Management Systems, AWS Cdk, Scripting, Feature Engineering, Snowflake, Database Optimization, Change Data Capture, Cloudformation, Infrastructure Automation Frameworks, Information Technology, AWS Glue, Apache Kafka, Data Management, Dynamic Data, Terraform, Marketplace, Data Pipelines
- **Published:** September 12, 2026
- **Apply:** https://www.dice.com/job-detail/0d12870c-b219-4a44-b09e-01322cbb9942

## About the Role

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., * 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

## Description

Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage, 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


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