Snowflake+Data Conversion+Data Quality - Manager

Responsibilities

• Leading Snowflake data conversion workstreams across cloud-based data environments
• Managing data quality initiatives, validation routines, and reconciliation processes for converted data assets
• Overseeing data pipeline design, transformation logic, and integration activities within modern data platforms
• Guiding teams in planning, sequencing, and delivery of data engineering tasks across multiple client needs
• Reviewing source-to-target mappings, conversion rules, and exception handling for accuracy and completeness
• Applying Snowflake, Databricks, Azure Data Factory, and Airflow to support scalable data movement and orchestration
• Coordinating data model updates, warehouse structures, and performance tuning efforts for analytical workloads
• Mentoring team members on data engineering methods, delivery timelines, and issue resolution approaches
• Validating technical deliverables against client requirements, data governance expectations, and technical standards
• Identifying risks, dependencies, and process improvements that strengthen data conversion outcomes
• What You Must Have
• At least a Bachelor's degree
• At least 9+ years of experience
• Oral and written proficiency in English required
• What Sets You Apart
• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating Snowflake data conversion experience across complex client environments
• Utilizing data quality validation methods for large-scale transformation work
• Leading data modernization workstreams through planning, budgeting, and execution
• Mentoring team members while reviewing deliverables and timeline progress
• Applying cloud data engineering skills with AWS, Azure, or GCP