Senior Data Architect

Overview

Our not-so-secret sauce.

Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 11,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA).

MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).

A day in the life.

As a Senior Data Architect on the Data team, you’ll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you’ll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects.

You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform.

We’d love to meet you if your professional track record includes these skills:

• 10+ or more years of experience in Information Technology.
• 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy
• 5 to 7 years of experience in Cloud database technologies.
• 7 to 10 years of experience as a data architect
• Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table
• Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise
• Experience in data modeling, streaming skills, and data architecture for operational and analytical data stores
• Proficiency in the design of batch and streaming data ingestion
• Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs
• Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data
• Designing and maintaining the data models, including conceptual, logical, and physical data models
• Experience with SOA data layer utilizing data access frameworks and exposing data via web services
• Experience with Business Intelligence and data mart architecture
• Experience creating a data architecture vision between lines of business and IT
• Demonstrated competency in communicating the value of data architecture to stakeholders and senior management
• Experience in SDLC processes, database patterns, and development frameworks
• Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations
• Experience crafting solutions that leverage data in No
  
  SQL and SQL data stores for high availability and disaster tolerance
• Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies
• Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication
• Knowledge of Informatica – IICS task flows development and maintenance
• Experience with Mongo
  
  DB or another No
  
  SQL database, Postgre
  
  SQL, or any relational database
• Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM
• Experience with data integration services such as Azure Data Factory
• Experience with business intelligence tools;
  Power BI or Qlik is preferred
• Experience in designing and building large-scale, enterprise systems in a highly available, scalable,…