Data Architecture Technical Principal

🕒 Setembro 9

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $115.000 - $213.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 6%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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GM Financial

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1992

🚘 Automotivo

💼 Consultoria

📦 Logística

Automotive • Consulting • Logistics

GM Financial é a empresa cativa de financiamento automotivo da General Motors, fornecendo financiamento de veículos de varejo e comercial, leasing e serviços relacionados a consumidores, concessionárias, frotas e investidores. A empresa oferece pré-qualificação, ferramentas de gestão de contas e pagamento móvel, financiamento de veículos elétricos, serviços de término de leasing, soluções de empréstimo comercial e para frotas, e produtos para investidores (GM Financial Right Notes), apoiando operações de financiamento tanto de consumidores quanto de empresas.

Descrição

• Define the target-state data architecture, including transformation, organization, availability, and consumption for analytics, AI, reporting, and business applications • Plan, develop, improve, and maintain data architecture for data warehouses and data marts • Enable metric and KPI standardization through semantic modeling, business definitions, and reusable data products • Create shared business context and AI reasoning capabilities through a business ontology • Design and deliver enterprise data products aligned to core business domains • Establish analytics modeling standards for self-service analytics and consistent reporting • Perform in-depth data analysis and data modeling supporting the target-state architecture • Ensure data consistency and accessibility • Collaborate with IT and business teams • Evaluate and integrate new data management technologies • Define and scale data architecture for GM Insurance • Establish standards, patterns, and technical direction for trusted data products and scalable self-service, analytics, and AI capabilities

🎯 Requisitos

• Proven experience defining and delivering modern enterprise data architecture at scale • Hands-on experience in information architecture, data modeling, and data warehousing using normalized, dimensional, and fit-for-purpose modeling approaches • Experience enabling business intelligence and self-service analytics through semantic layers, shared metrics, enterprise information models, business ontologies, and business vocabulary standards • Experience with major cloud platforms and modern data platforms; preferred experience in Azure and Databricks • Expert SQL skills; preferred experience with Databricks SQL, query optimization, reusable views, and metric definitions • Experience with Databricks Unity Catalog Semantics, dbt Semantic Layer, LookML, or AtScale • Preferred familiarity with Databricks SQL Warehouses, Unity Catalog, dashboards, MLflow, Feature Store, and AI/BI capabilities • Preferred working knowledge of Python, PySpark, notebooks, jobs, APIs, and metadata automation • Preferred experience with Git, CI/CD, configuration-based deployment, and infrastructure-as-code patterns • Experience partnering across business, technology, analytics, governance, privacy, and security stakeholders • Ability to guide architecture decisions balancing business value, risk, investment, scalability, data quality, and fit-for-purpose design • Strong business acumen in auto insurance, including operations, customer lifecycle, claims, underwriting, pricing, and regulatory considerations • Background in regulated or data-sensitive environments • More than 10 years of experience in a related function required • 3–5 years of experience leading through mentorship in a related field required • 3–5 years of experience leading projects and initiatives through influence required • High School Diploma or equivalent required • Associate's degree or High School Diploma plus 2 additional years of related experience required • Related certifications and/or licenses required • Visa sponsorship is not available

🏖️ Benefícios

• 401K matching • Bonding leave for new parents: 12 weeks, 100% paid • Tuition assistance • Training • GM employee auto discount • Community service pay • Nine company holidays • Competitive pay and bonus eligibility • Performance-based incentive plan • Health benefits available on day one of employment