Software Engineer Manager – Data Engineering, EDW

🕒 Maio 28

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The Home Depot

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1978

🛒 Varejo

👥 B2C

💰 Debt Financing em 2007-07

Retail • B2C

A Home Depot é um dos principais varejistas de melhoria do lar, oferecendo uma ampla variedade de materiais de construção, produtos para melhoria do lar, artigos para jardim e relacionados. A empresa opera tanto em lojas físicas quanto em uma plataforma online, fornecendo soluções abrangentes para entusiastas de DIY, empreiteiros profissionais e proprietários de imóveis. A Home Depot está comprometida com a diversidade, equidade e inclusão, proporcionando oportunidades de emprego e benefícios a uma força de trabalho diversificada. Além disso, a empresa dá grande ênfase ao atendimento ao cliente e ao engajamento dos colaboradores para manter sua posição como líder confiável no setor de melhoria de residências.

Descrição

• 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. • 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. • 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. • Evaluates new technologies for adoption across the enterprise. • Participates in and leads review board sessions to drive consistency across the enterprise. • 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. • 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).

🎯 Requisitos

• 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.

🏖️ Benefícios

• health care benefits • 401K • ESPP • paid time off • success sharing bonus