Software Engineer Manager - Data Engineering, EDW (Remote)The Home Depot • Atlanta, Georgia, United States
Software Engineer Manager - Data Engineering, EDW (Remote)
The Home Depot
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
About
Enterprise Data Warehouse (EDW)
data teams, which are responsible for building and maintaining scalable data pipelines, supporting data domain analytics, and enabling downstream products such as data views and AtScale cubes. In addition, you will work closely with our most strategic vendors to ensure that third‑party tools and applications are readily available and effectively supported for all product teams that rely on our enterprise data platforms.
Key Responsibilities
30% Delivery & Execution:
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
Documents, reviews and ensures that all quality and change control standards are met
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
Works with vendors and partners for the successful implementation of critical tooling and platforms
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
Evaluates new technologies for adoption across the enterprise
Participates in and leads review board sessions to drive consistency across the enterprise
Fills in on product teams for engineers who are out of the office
10% Support & Enablement:
Fields questions from engineers, product teams, or support teams
Monitors tools and participates in conversations to encourage collaboration across product teams
Provides application support for software running in production
Acts as a technical escalation point for the engineers on the team
50% People:
Provides leadership, mentoring, and coaching to Software Engineers
Attracts, retains, and develops top talent to build a world class Software Engineering Team
Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
Acts as a proponent of modern software development practices
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
10% Learning:
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems
Direct Manager/Direct Reports
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.
Travel Requirements
Typically requires overnight travel 5% to 20% 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.
Mastery of an object oriented programming language (preferably Java)
Must be legally permitted to work in the United States
Preferred Qualifications
5+ years of relevant experience in data engineering, with a strong hands‑on technical background.
2+ years of experience leading and managing engineering teams.
Bachelor’s degree in computer science, data engineering, or a related field (or equivalent practical experience).
Proven experience leading data engineering initiatives and managing technical teams in an enterprise environment.
Strong expertise in cloud-based data platforms, preferably GCP / BigQuery.
Deep knowledge of SQL, data modeling, and large‑scale data processing for high-volume, enterprise-scale data environments.
Experience supporting and operating data platforms with significant data volume and complexity.
Experience with data orchestration tools, CI/CD pipelines, and modern ETL processes.
Demonstrated ability to work cross-functionally and influence a wide range of stakeholders.
Exceptional leadership, communication, and people management skills.
Experience operating in fast‑paced, enterprise-scale environments with complex systems.
Strong problem‑solving skills, attention to detail, and the ability to quickly understand complicated systems.
Minimum Education
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education
No additional education
Minimum Years of Work Experience
5
Preferred Years of Work Experience
No additional years of experience
Minimum Leadership Experience
None
Preferred Leadership Experience
None
Certifications
None
Competencies
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
Business Insight: Applying knowledge of business and the marketplace to advance the organization’s goals
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Develops Talent: Developing people to meet both their career goals and the organization’s goals
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
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Languages
- English
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