The Role
Data Harvester Lead
About the Role:We’re looking for a technically adept and organized leader to serve as both Scrum Master and team lead for our Data Harvesting Team. In this role, you'll lead a cross-functional team responsible for acquiring, processing, and ensuring the quality of large-scale data sets that feed critical business systems and visualization pipelines. This includes oversight of ETL processes, hands-on scripting in Python, and implementation of data quality best practices.Key Responsibilities:- Lead the Data Harvesting Team in organizing and executing data acquisition workflows
- Oversee ETL processes, ensuring clean, structured, and timely ingestion of diverse data sources
- Guide team through Agile ceremonies: sprint planning, daily standups, retrospectives, and backlog grooming
- Manage team capacity and priorities while removing blockers and optimizing workflow efficiency
- Write and review Python scripts and tools to automate data extraction, transformation, and loading
- Collaborate with product and engineering stakeholders to define data requirements
- Monitor and improve data quality, identifying and resolving inconsistencies or gaps
- Maintain documentation for data harvesting standards, pipelines, and quality control procedures
- Provide reporting on team performance, data health metrics, and backlog progress
- Experience leading Agile teams; Scrum Master certification preferred
- Strong knowledge of ETL processes and data pipeline design
- Proficiency in Python, with experience in scripting for data manipulation and automation
- Familiarity with data quality assessment techniques and QA for large data sets
- Proven ability to manage cross-functional teams and balance technical priorities
- Strong analytical and problem-solving skills
- Excellent written and verbal communication, with an ability to work cross-functionally
- Experience with metadata management, product catalogs, or digital asset management
- Understanding of 3D visualization pipelines or data preparation for visual rendering
- Familiarity with cloud-based data platforms or tools (e.g., AWS Glue, Apache Airflow, etc.)
- Background in furniture, manufacturing, or design-related industries
This role is not open to candidates currently in the following states: California, Colorado, New Jersey, New York, Georgia, Washington, Pennsylvania
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The Company
What We Do
Marxent specializes in augmented reality and virtual reality for furniture and home decor retailers and manufacturers.
