FBS Data Information Architect @ Capgemini
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Posted 3 days ago
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Job Details
FBS Data Information Architect
Our client, one of the United States’ largest insurers, is seeking a Senior System Architect to design and implement complex system architectures. The role focuses on developing scalable data architectures to support personalized customer experiences, business intelligence, and advanced analytics.
Responsibilities
- Define, create, and maintain architecture artifacts including data models and data dictionaries.
- Develop scalable data architectures and optimize data pipelines that integrate various data sources.
- Implement and maintain data warehousing solutions in Snowflake and support batch and real-time integration.
- Collaborate with data engineers, analysts, and business stakeholders to translate requirements into data solutions.
- Ensure compliance with data governance and security standards.
Required Skills & Technologies
- Experience with Snowflake, Python, Azure, and AWS.
- Strong foundation in Big Data, cloud platforms, and modern data architecture frameworks.
- Expertise in data modeling, ETL/ELT, and data pipelines.
- Hands-on experience in building data warehousing solutions.
- Understanding of Customer Data Platforms, Master Data Management, and Customer 360 architectures.
Benefits & Perks
Competitive salary, performance-based bonuses, comprehensive benefits, career development, and flexible work arrangements in a dynamic and inclusive work culture.
Key skills/competency
- Data Architecture
- System Design
- Snowflake
- Python
- Cloud Platforms
- Big Data
- ETL/ELT
- Data Warehousing
- Data Governance
- Analytics
How to Get Hired at Capgemini
🎯 Tips for Getting Hired
- Customize Resume: Tailor skills to data architecture challenges.
- Highlight Experience: Emphasize Snowflake, Python, and cloud projects.
- Research Capgemini: Study their technology partnerships and culture.
- Prepare for Interviews: Practice problem-solving in data systems.
📝 Interview Preparation Advice
Technical Preparation
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Review Snowflake implementation best practices.
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Practice Python for data engineering tasks.
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Brush up on AWS and Azure cloud services.
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Study modern data architecture frameworks.
Behavioral Questions
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Describe teamwork in previous data projects.
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Explain a challenging data architecture experience.
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Discuss handling tight deadlines and priorities.
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Share a time when cross-team collaboration succeeded.
Frequently Asked Questions
What qualifications does Capgemini seek for the FBS Data Information Architect role?
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How important is experience with Snowflake for the FBS Data Information Architect at Capgemini?
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What kind of data architectures will be developed as FBS Data Information Architect?
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How does Capgemini support career growth for a Senior System Architect?
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What is the work environment like at Capgemini for this role?
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How do I prepare for the technical interview at Capgemini?
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What are Capgemini's expectations regarding data governance?
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Is experience with customer data platforms required at Capgemini?
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What role does cross-functional collaboration play at Capgemini?
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How do I learn more about Capgemini's culture before applying?
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