Engineering Manager, Data Platform and Governance

🕒 Junho 9

🚗 Michigan – Remoto

infoinfo

💵 $123.800 - $173.100 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Canopy, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Junho 9

Ainda aberta no site da Canopy. Verificada 2 dias atrás.

Logo of Canopy

Canopy

51 - 200 funcionários

🔐 Segurança

🚘 Automotivo

🔧 Hardware

Security • Automotive • Hardware

A Canopy é uma empresa que fornece soluções de segurança avançadas especificamente projetadas para caminhonetes. Adquirida pela Ford Motor Company, a Canopy foca em aprimorar a segurança dos veículos através de produtos como a Pickup Cam, um sistema de câmeras que oferece transmissão ao vivo em HD e notificações impulsionadas por IA para monitorar e proteger as caçambas das caminhonetes. Seus sistemas estão equipados com recursos como armazenamento de vídeo em nuvem e conectividade LTE, permitindo que os proprietários dos caminhonetes gerenciem a segurança e recebam alertas em tempo real sobre invasões. A Canopy visa revolucionar a segurança dos veículos, particularmente para caçambas abertas, proporcionando tranquilidade aos proprietários de caminhonetes. A empresa enfatiza a facilidade de uso com instalação faça-você-mesmo, atualizações over-the-air e suporte premium ao cliente.

Descrição

• Define and execute the company's data platform, analytics, and governance strategy. • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows. • Establish technical roadmaps, architecture standards, and best practices for data systems and services. • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth. • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes. • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions. • Establish data quality, observability, lineage, cataloging, and reliability practices. • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams. • Develop and maintain enterprise data governance policies, standards, and operating procedures. • Define data ownership, stewardship, retention, classification, and lifecycle management processes. • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations. • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data. • Establish auditability, data access controls, and governance processes for AI and analytics workloads. • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

🎯 Requisitos

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field. • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines. • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership. • Experience designing and operating modern cloud-based data platforms and data pipelines. • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns. • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices. • Working knowledge of privacy and data protection regulations, including GDPR and CCPA. • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making. • Strong stakeholder management, communication, and collaboration skills. • Proven ability to balance strategic planning with hands-on technical execution.

🏖️ Benefícios

• Comprehensive medical benefits coverage, dental plans and vision coverage. • Health care and dependent care spending accounts. • Employee and Family Assistance Program (EAP). • Employee discount programs. • Retirement plan with a generous company match. • Generous Paid Time Off, Sick, and Holidays • Family Leave (Maternity, Paternity) • Short- and long-term disability • Life insurance and accidental death & dismemberment insurance

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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