Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Senior Developer, Item Data, serves as the technical authority for the lifecycle of product information, architecting robust data pipelines and sophisticated data models that ensure a reliable source of truth. This role bridges the gap between raw data and strategy by building intuitive reporting suites and high-impact visualizations that translate complex datasets into actionable narratives. As a proactive consultant to cross-functional partners, the candidate would be expected to identify emerging trends and deliver strategic insights before they are requested. This role is essential to optimizing item data integrity and driving data-informed decision-making across the enterprise, merging technical engineering excellence with a business-first mindset. Responsibilities: Architect and maintain sophisticated, scalable schemas that support complex product analysis, ensuring consistency across the catalog and disparate channels. Build and automate robust ETL workflows that apply rigorous validation to ensure high data integrity. Develop advanced dashboards and self-service reporting tools that translate multidimensional item data into clear, visual narratives for executive and operational stakeholders. Partner with site experience and merchandising teams to identify data opportunities and optimal communication networks to deliver predictive insights that support performance and lifecycle management. Key Responsibilities: 30% Define, plan and implement solutions on assigned moderately complex projects. 25% Take business requirements and develop the total technical design on moderately complex projects and ensure proper usage as part of the design efforts in building a system to be put into production. 20% Conduct appropriate test reviews for assigned projects and present to architecture review boards as necessary. 15% Promote and follow the established processes, policies, standards and procedures to assure compliance with corporate and regulatory policies and standards. 10% Provide technical direction to associate developers, developers and contractors. Direct Manager/Direct Reports: Position reports to Manager, Online No direct reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Bachelor’s degree in Business, Analytics, Data Science, or a related field. 3-5 years of experience in a data analytics role, preferably within a retail or merchandising environment. Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R) and working in GBQ. Significant experience with ETL frameworks and schema design. Strong proficiency with data visualization tools such as Tableau or Power BI. Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Ability to work independently with minimal direction. Ability to communicate issues and recommend solutions in a timely manner to Management. Strong decision making abilities. Experience developing new application systems for production.

Requirements

Must-haves

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Architect and maintain sophisticated, scalable schemas that support complex product analysis, ensuring consistency across the catalog and disparate channels.
Build and automate robust ETL workflows that apply rigorous validation to ensure high data integrity.
Develop advanced dashboards and self-service reporting tools that translate multidimensional item data into clear, visual narratives for executive and operational stakeholders.
Partner with site experience and merchandising teams to identify data opportunities and optimal communication networks to deliver predictive insights that support performance and lifecycle management.
30% Define, plan and implement solutions on assigned moderately complex projects.
25% Take business requirements and develop the total technical design on moderately complex projects and ensure proper usage as part of the design efforts in building a system to be put into production.
20% Conduct appropriate test reviews for assigned projects and present to architecture review boards as necessary.
15% Promote and follow the established processes, policies, standards and procedures to assure compliance with corporate and regulatory policies and standards.
10% Provide technical direction to associate developers, developers and contractors.
Position reports to Manager, Online
No direct reports
Typically requires overnight travel less than 10% of the time.
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
3-5 years of experience in a data analytics role, preferably within a retail or merchandising environment.
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Nice-to-haves

Bachelor’s degree in Business, Analytics, Data Science, or a related field.
Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R) and working in GBQ.
Significant experience with ETL frameworks and schema design.
Strong proficiency with data visualization tools such as Tableau or Power BI.
Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: workday
Effort: long