Software Engineer Manager - Data Engineering, EDW (Remote)

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

As a Software Engineering Manager, you will contribute to the products we create while helping to grow the next generation of engineering talent. This role will support our 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.