Senior Data Validation Engineer - INTL LATAM

Job Description

We are seeking a Senior Data Validation Engineer to support enterprise data warehouse modernization initiatives within a Snowflake and DBT environment. This role will focus on validating, testing, and certifying data pipelines, transformations, and AI-generated code to ensure data quality, consistency, and adherence to enterprise standards. The ideal candidate combines strong data engineering knowledge with a quality-focused mindset and experience working across large-scale analytics, MDM, and data warehousing initiatives.

Responsibilities

• Validate DBT models, transformations, and data pipelines developed by engineering teams and AI-assisted development tools.
• Perform source-to-target reconciliation and ensure data accuracy across Snowflake environments.
• Execute end-to-end testing for batch and streaming data integrations, including Kafka-based feeds.
• Review AI-generated code and verify compliance with enterprise standards and architectural requirements.
• Partner with architects and senior engineering teams to validate data solutions before deployment.
• Evaluate dimensional models and ensure alignment with Kimball data warehousing methodologies.
• Develop and execute test plans, test cases, and regression testing activities.
• Monitor data quality and identify data anomalies, completeness issues, and transformation defects.
• Support CI/CD deployment validation using GitHub repositories and release management processes.
• Create detailed testing documentation, validation findings, and data quality reports.
• Participate in Agile ceremonies and manage work through Jira and Confluence.
• Collaborate with business stakeholders to ensure data products support reporting, analytics, and operational use cases.

Skills and Requirements

• 5+ years of Data Engineering, Data Quality, or Data Validation experience
• Advanced SQL
• DBT
• Snowflake
• GitHub repository management
• CI/CD validation and release testing
• Kafka integration validation
• Source-to-target mapping
• Data reconciliation
• Dimensional modeling and Kimball methodologies
• Jira
• Confluence
• Agile/Scrum environments
• AI-generated code validation
• Master Data Management (MDM)
• Data governance frameworks
• Medallion Architecture (Raw, Silver, Gold Layers)
• Data warehouse modernization initiatives
• Hospitality, gaming, or customer analytics environments

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.