Offer summary

Qualifications:

Experience leading Agile teams; Scrum Master certification preferred., Strong knowledge of ETL processes and data pipeline design., Proficiency in Python for data manipulation and automation., Excellent communication skills and ability to manage cross-functional teams..

Key responsibilities:

Lead the Data Harvesting Team in executing data acquisition workflows.

Oversee ETL processes for clean and timely data ingestion.

Guide the team through Agile ceremonies and manage workflow efficiency.

Collaborate with stakeholders to define data requirements and monitor data quality.

Job description

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

Qualifications:

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

Nice to Have:

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

3D Cloud™ is an Equal Opportunity Employer

3D Cloud™ provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, 3D Cloud™ complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

3D Cloud™ expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of 3D Cloud™ employees to perform their job duties may result in discipline up to and including discharge

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