Senior Data Solutions Architect

Vaga não está no LinkedIn

🔥 14 horas atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $115.800 - $202.700 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Marsh McLennan

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1871

⚖️ Jurídico

📣 Marketing

💸 Finanças

Legal • Marketing • Finance

Marsh McLennan é uma empresa líder em serviços profissionais que atua nas áreas de risco, estratégia e pessoas. Com mais de 85. 000 colaboradores em todo o mundo, a companhia engloba quatro principais negócios: Marsh, oferecendo corretagem de seguros e gestão de riscos; Guy Carpenter, fornecendo resseguros e estratégias de capital; Mercer, especializada em consultoria nas áreas de saúde, patrimônio e carreira; e Oliver Wyman, com foco em consultoria em estratégia, economia e marca. A Marsh McLennan é comprometida em promover uma cultura inclusiva, capacitar seus colaboradores e entregar soluções inovadoras a clientes globalmente.

Descrição

• Translate business requirements into technical strategies and architect solutions on MMA data platforms • Design enterprise data architecture and solutions across cloud and hybrid data platforms • Lead design and architecture of enterprise solutions across Agency Management Software, EHB, and CRM domains • Develop and maintain solution blueprints for Agency management systems, GCP, Azure Databricks, Workday, ServiceNow, Microsoft Fabric, and Azure SQL • Define and enforce medallion architecture standards for the data Lakehouse • Establish secure and scalable integration patterns and data flows between AMS, HRIS, CRM, Azure Cloud, and development systems • Ensure solutions comply with GDPR, HIPAA, and other healthcare and insurance regulatory frameworks • Collaborate with the Data Governance Council on RBAC and RLS in Unity Catalog and Power BI • Drive metadata management and data lineage practices in Databricks Unity Catalog and other governance tools • Partner with enterprise architecture, Data Analytics, and Data Engineering teams on shared infrastructure and data strategies • Evaluate emerging AI/ML, Databricks, and analytics technology features • Develop frameworks for AI-ready data platforms and support responsible predictive analytics and LLM-based solutions • Create conceptual, logical, and physical data models for engineering, analytics, and operational use cases • Support large-scale data migrations, modernization initiatives, proof-of-concept experiments, and requirements gathering

🎯 Requisitos

• Minimum 12 years of experience designing end-to-end ETL/ELT data solutions • Minimum 5 years preferably in an Azure cloud environment and Databricks • Experience with agile methodologies, large-scale data migrations, data modernization initiatives, proof-of-concept experiments, and requirements gathering • Ability to create conceptual, logical, and physical data models and entity relationships • Advanced knowledge of SQL, data modeling, and modern data Lakehouse technologies • Hands-on experience with Delta Lake features including change data capture, ACID transactions, optimization, and schema drifting/evolution • Experience with batch and real-time data processing • Understanding of compliance, quality, and security frameworks for healthcare and insurance • In-depth understanding of structured and unstructured data structures, data types, and formats • Command of high-performance data storage in data lakes • Certifications in TOGAF, Enterprise Architecture, or Azure are a plus but not required

🏖️ Benefícios

• Generous time off, including personal and volunteering • Tuition reimbursement and professional development opportunities • Remote work • Charitable contribution match programs • Stock purchase opportunities • Health and welfare benefits • Tuition assistance • 401K savings and other retirement programs • Employee assistance programs • Performance-based incentives may be available • Competitive total rewards package