
Senior Data Architect
Marsh & McLennan Companies is seeking an experienced Senior Data Architect to join our global team. As a Senior Data Architect, you will be responsible for developing and optimizing our data architecture to support business objectives. The successful candidate should have extensive experience in data architecture, data integration, and data analysis, as well as the ability to work collaboratively with stakeholders and colleagues. The ideal candidate will possess excellent communication, problem-solving, and leadership skills, and have a passion for leveraging data to drive business transformation. We are looking for an individual who is comfortable working in a fast-paced environment and has the ability to think strategically while managing multiple priorities.Required Qualifications:• Bachelor’s degree in Computer Science, Information Systems, or a related field• 5+ years of experience in data architecture, data integration, and data analysis• Proficiency in SQL, and experience with at least one of the major cloud providers (e.g. AWS, Azure, GCP)• Knowledge of data models, database design, data mining, and segmentation techniques• Proven ability to design and implement data architectures• Ability to work with stakeholders to understand their needs and develop solutions• Excellent problem-solving, communication, and leadership skills
Responsibilities:
- Design and implement data architectures to support business objectives.
- Develop and optimize data architecture to ensure efficient use of data.
- Utilize SQL, and experience with major cloud providers (e.g. AWS, Azure, GCP) to create data models, database design, data mining, and segmentation techniques.
- Collaborate with stakeholders to understand their needs and develop appropriate solutions.
- Analyze data and identify trends and patterns to drive business transformation.
- Manage multiple priorities in a fast-paced environment.
- Provide leadership, guidance, and mentorship to team members.
- Maintain up to date knowledge of industry trends and best practices.
Data Warehousing
Nosql
And Big Data Technologies
Etl
And Python
Olap
Strong Technical Background In Data Architecture
Database Design
Extensive Experience In The Development And Implementation Of Data Warehouse Solutions
Excellent Knowledge Of Oltp
And Data Warehouse Design And Architecture
In-Depth Understanding Of Data Modeling
Data Mining
Analytics
And Related Technologies
Proficiency In Programming Languages Like Sql
Ability To Build And Maintain Data Integration
Data Migration
And
Sql
Python
Java
Business Intelligence
Data Security
Big Data
Data Modeling
ETL
Data warehousing
Data Visualization
Cloud Computing
Data Mining
Data Analytics
Data governance
Data architecture
Communication
Leadership
Time management
Interpersonal Skills
creativity
self-motivation
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Architect in Los Angeles, CA, USA is between $140,000 and $175,000 per year. Salaries can vary depending on experience, education, certifications, and other factors.
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Marsh & McLennan Companies, Inc. is a global professional services firm, headquartered in New York City with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consulting.

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