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).
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 datastores
- 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 NoSQL and SQL datastores 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 MongoDB or another NoSQL database, PostgreSQL, 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, performant, and distributed environment
THESE ADDITIONAL QUALIFICATIONS ARE A PLUS, BUT NOT REQUIRED TO APPLY:
- Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point
- Microsoft Azure Data Engineer or other cloud certifications
- Data bricks experience and certification
We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.
WHO YOU ARE IS WHO WE ARE.
We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.
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