FBS Data Information Architect

Our client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our client is part of one the largest Insurance Groups in the world.

The Senior System Architect will be responsible for designing and implementing complex system architectures that meet the needs of our clients. This role requires a deep understanding of architecture principles and the ability to lead architectural efforts across various projects.

• Define, create, and maintain architecture artifacts including data architecture, data flow diagrams, conceptual/logical data models, data dictionaries, and database design.
• Understand current and future architecture, reporting, and warehousing technologies to effectively create future target state solutions for Service Ops data and analytics.
• Develop scalable, efficient data architectures that enable personalized customer experiences, business intelligence, and advanced analytics.
• Work towards a data strategy that maximizes the value of data as an asset and define a migration strategy from the current state to future state architecture.
• Design and optimize data pipelines that integrate various data sources (1st party, 3rd party, operational) to support business intelligence and advanced analytics.
• Develop data models and data flows that enable personalized customer experiences and support omnichannel marketing and customer engagement.
• Implement and maintain data warehousing solutions in Snowflake to handle large-scale data processing and analytics needs.
• Support both real-time and batch data integration, ensuring data is accessible for actionable insights and decision-making.
• Collaborate with different teams including data engineers, analysts, and business stakeholders to translate business requirements into data solutions.
• Ensure compliance with data governance and security standards.

• Experience with Snowflake, Python, Azure, and AWS.
• Strong foundation in Big Data and Cloud Platforms.
• Proven experience in developing scalable, efficient data architectures that enable personalized customer experiences, BI, and advanced analytics.
• Ability to define, create, and maintain architectural artifacts for data solutions.
• Experience in designing and optimizing data pipelines that integrate various data sources to support BI and advanced analytics.
• Competency in developing data models and data flows that support customer experiences.
• Skilled in implementing data warehousing solutions to handle large-scale data processing and analytics.
• Proficiency in supporting real-time and batch data integration.
• Ability to work collaboratively with data engineers, analysts, and business stakeholders.
• Strong understanding of data governance and security standards.
• 4+ years of experience in Data Architecture or Data Engineering, with expertise in technologies such as AWS, Snowflake, and Azure.
• Strong understanding of data modeling, ETL/ELT processes, and modern data architecture frameworks.
• Proven experience designing scalable data architectures for customer analytics and operations.
• Expertise with cloud data platforms (AWS preferred) and Big Data technologies for large-scale data processing.
• Hands-on experience with Python for data engineering tasks and scripting.
• Proven track record of building and managing data pipelines and data warehousing solutions such as Snowflake, AWS.
• Familiarity with Customer Data Platforms (CDP), Master Data Management (MDM), and Customer 360 architectures.
• Strong problem-solving skills and ability to work with cross-functional teams to translate business requirements into scalable data solutions.
• Proficient knowledge in modern data architecture that supports advanced analytics including Snowflake, Azure, etc.

Self-directed and comfortable supporting the data needs of multiple teams, systems and products

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.