Senior Data Architect

🕒 Setembro 9

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $150.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 5%

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LG Energy Solution Vertech, Inc.

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2022

🏭 Manufatura

💼 Consultoria

📦 Logística

Manufacturing • Consulting • Logistics

A LG Energy Solution Vertech, Inc. é a divisão de armazenamento de energia nos EUA da LG Energy Solution, especializada em sistemas de armazenamento de energia integrados e serviços. Eles estão comprometidos em fornecer soluções confiáveis e seguras, enquanto promovem parcerias fortes baseadas em transparência e confiança. Com foco na experiência do cliente, a LG Energy Solution Vertech melhora o sucesso dos projetos por meio de sua expertise em tecnologia de baterias e integração de sistemas, fornecendo suporte abrangente ao longo do ciclo de vida dos projetos de armazenamento de energia.

Descrição

• Design and evolve scalable data models and foundational data structures for analytics, reporting, and AI initiatives • Transform siloed source-system data into standardized, cohesive, business-friendly datasets • Design and maintain semantic models, business definitions, metrics, hierarchies, and context layers • Identify, prioritize, and onboard new data sources and business systems into the centralized data platform • Prepare enterprise data assets for AI and advanced analytics use cases • Develop Snowflake role-design, access-control, and data-sharing frameworks • Define data quality standards and controls • Improve platform scalability, maintainability, reliability, governance, security, performance, and cost management • Create and maintain technical documentation, data dictionaries, architecture diagrams, semantic definitions, governance artifacts, and development standards • Own centralized data models, semantic layer, data architecture standards, Snowflake access frameworks, and data governance implementation • Recommend improvements to enterprise data structures, governance practices, data quality controls, access models, and scalability initiatives • Support security exceptions, architecture deviations, data-sharing agreements, and governance policies with stakeholder approval • Escalate unresolved data ownership, access, data quality, architecture, and prioritization conflicts to the Sr. Manager, AI & Data • Collaborate with Business Applications, Information Technology, Cybersecurity, business stakeholders, external partners, and distributed teams

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Data Analytics, Information Systems, or a related technical field • 5+ years of experience in data architecture, data engineering, analytics engineering, business intelligence, or related disciplines • Strong understanding of data modeling, data architecture principles, and data governance practices • Strong understanding of semantic layer and context layer frameworks • Advanced SQL skills and experience working with modern cloud data platforms • Experience designing scalable and maintainable data structures supporting reporting, analytics, and AI use cases • Strong understanding of metadata management, master data concepts, role-based access controls, and enterprise data standards • Ability to simplify complex information and communicate technical concepts effectively to business stakeholders • Strong analytical, documentation, communication, and problem-solving skills • Experience with Snowflake and dbt • Experience developing semantic layers, governed metrics, or enterprise reporting frameworks • Familiarity with data governance frameworks, data catalog solutions, or stewardship programs • Experience supporting AI and machine learning use cases through data preparation and architecture • Experience within renewable energy, manufacturing, field service, or asset-intensive industries • Relevant Snowflake, Microsoft, DAMA, or data architecture certifications

🏖️ Benefícios

• Competitive salaries • 100% employer sponsored medical, dental, vision, life and disability insurance • Occasional travel may be required for company meetings, workshops, vendor engagements, or enterprise data and AI initiatives