Software Engineer Principal

About the role

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

Key Responsibilities:

• Collaborate and pair with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions.
• Document, review and ensure that all quality and change control standards are met.
• Write custom code or scripts to automate infrastructure, monitoring services, and test cases.
• Write custom code or scripts to do "destructive testing" to ensure adequate resiliency in production.
• Create meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively.
• Contribute to enterprise-wide tools to drive destructive testing, automation, or engineering empowerment.
• Identify product enhancements (client-facing or technical) to create a better experience for the end users.
• Identify unsecured code areas and implement fixes as they are discovered with or without tooling.
• Identify, implement, and share technical solutions that can be used across the organization.
• Create and architect foundational code elements that can be reused many times by a product.
• Create meaningful architecture diagrams and other documentation needed for security reviews or other interested parties.
• Define Service Level Objectives for product to constantly measure their reliability in production and help prioritize backlog work.
• Field questions from other product teams or support teams.
• Monitor tools and participate in conversations to encourage collaboration across product teams.
• Provide application support for software running in production.
• Proactively monitors production Service Level Objectives for products.
• Work with vendors and the open-source community to help identify and implement feature enhancements in software products.
• Work with other product teams to create API specifications and contracts for shared data.
• Proactively review the performance and capacity of all aspects of production: code, infrastructure, data, and message processing.
• Triage high priority issues and outages as they arise.
• Participate in and lead learning activities around modern software design and development core practices (communities of practice).
• Learn, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations.
• Attend conferences and learn how to apply new technologies where appropriate.
• Telecommuting available.

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor’s degree in Computer Science, Computer Information Systems, Information Technology, or a related field and 7 years of experience in a related occupation. Requires 5 years of experience in the following skills:
• Designing and implementing Enterprise Data Warehouse architectures including Star Schema;
• Cloud-native warehouses, especially BigQuery;
• Designing highly-optimized reusable Analytical Data Sets;
• Implementing Data Governance and Security and Role-Based Access Controls;
• SQL;
• Writing SQL queries against cloud-native databases like BigQuery, on-prem databases like db2;
• Python;
• OLAP databases and aggregation strategies;
• Data-related aspects of Google Cloud Platform;
• Orchestration and DataOps to build and maintain complex data pipeline workflows;
• Optimizing cloud storage and compute costs through efficient partitioning, clustering and storage tiering strategies;
• Retail Omnichannel Integration experience managing disparate data across the retail ecosystem;
• Retail logic including sales, inventory and supply chain logic;
• Defining and guiding a team of data engineers to execute a 1-3 year data strategy balancing business needs with long-term data architecture needs;
• Translating complex business data problems into technical solutions;
• CI/CD toolchain;
• Version control systems (Git);
• NoSQL databases;
• Query optimization and troubleshooting, specifically on BigQuery with slot management.