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Marsh McLennan
Senior Data Solutions ArchitectMarsh McLennan • Remote, Connecticut, United States
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Senior Data Solutions Architect

Senior Data Solutions Architect

Marsh McLennan • Remote, Connecticut, United States
13 days ago
Job type
  • Full-time
  • Remote
Job description

Job Description:

  • Translate business requirements into technical strategies
  • Architect solutions on to MMA data platforms
  • Design enterprise data architecture and solutions across MMA’s cloud and hybrid data platforms
  • Lead the Design and Architecture of enterprise solutions across MMA’s Agency management software, EHB and CRM domains
  • Develop and maintain solution blueprints for core platforms, including Agency management systems, GCP, Azure Databricks, Workday, ServiceNow, Microsoft Fabric and Azure SQL
  • Define and enforce standards for medallion architecture for MMA’s data Lakehouse
  • Establish secure and scalable integration patterns and data flows between AMS, HRIS, CRM, Azure Cloud, and development systems
  • Collaborate with the Data Governance Council to align solution architecture
  • Drive adoption of metadata management and data lineage practices within Databricks Unity Catalog

Requirements:

  • Minimum 12 years of experience designing end to end ETL/ELT data solutions
  • Minimum of 5 years preferably in Azure cloud environment and Databricks
  • Comfortable working in agile methodologies and large scale data migrations
  • Experience with proof of concept experiments and requirements gathering
  • Create conceptual, logical, and physical data models support engineering, analytics, and operational use cases
  • Advanced knowledge of SQL, data modeling, and modern data Lakehouse technologies
  • Hands-on experience with Delta Lake features such as Change data capture, ACID transactions, optimization, and schema drifting/evolution
  • Understanding of compliance, quality, and security frameworks for healthcare and Insurance
  • In-depth understanding of data structures (structured and unstructured), Data types and formats and command on high-performance data storage in data lakes

Benefits:

  • Generous time off, including personal and volunteering
  • Tuition reimbursement and professional development opportunities
  • Remote work
  • Charitable contribution match programs
  • Stock purchase opportunities
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Senior Data Solutions Architect • Remote, Connecticut, United States

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