AWS Data Architect
About The Position
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job DescriptionKey Responsibilities:1. AWS Solution Architecture & Delivery (70%) (Billable Work)• Lead AWS Data & AI projects across FS clients, ensuring delivery excellence.• Architect and implement data lakes, real-time analytics, and AI/ML pipelines on AWS.• Define data governance, security, and compliance best practices for FS firms.• Optimize cost and performance for AWS data workloads, ensuring alignment with client objectives.• Drive AWS AI/ML use cases, including predictive analytics, risk modeling, and fraud detection.• Work hands-on with AWS services like Redshift, Lake Formation, Glue, Bedrock, SageMaker, DynamoDB, Kendra, OpenSearch, and Athena.2. RFP Solutioning & Pre-Sales Support (20%)• Lead AWS Data & AI solutioning for RFPs, proposals, and client pitches.• Define high-level AWS architectures aligned with client needs in data modernization, AI, and analytics.• Collaborate with AWS partner teams to ensure best-in-class solution designs.• Work with internal leadership, sales, and delivery teams to shape winning AWS cloud solutions.3. Thought Leadership & Capability Building (10%)• Develop reusable AWS architectures for FS clients in data & AI.• Contribute to internal accelerators and frameworks for AWS-based analytics solutions.• Stay updated on AWS best practices, emerging AI/ML trends, and FinTech innovations.• Mentor internal teams on AWS Data Engineering, AI/ML, and cloud-native architectures.
Requirements
- 10+ years of experience in AWS cloud architecture, specializing in Data & AI.
- Strong hands-on expertise with AWS Data & AI services (Redshift, Glue, Lake Formation, SageMaker, Bedrock, DynamoDB, Athena, OpenSearch, etc.).
- Proven ability to deliver AWS Data & AI projects while being 100% billable.
- Strong knowledge of AWS cost optimization, security, and compliance (SOC 2, GDPR, HIPAA, FINRA).
- Ability to support pre-sales and RFP solutioning, including defining AWS architectures.
Nice To Haves
- Experience in Financial Services (Banking, Capital Markets, Insurance) is a plus.
- Hands-on experience in building scalable data pipelines, data lakes, and AI-powered analytics solutions.
- Exposure to Gen AI / LLMs is a plus.
Responsibilities
- Lead AWS Data & AI projects across FS clients, ensuring delivery excellence.
- Architect and implement data lakes, real-time analytics, and AI/ML pipelines on AWS.
- Define data governance, security, and compliance best practices for FS firms.
- Optimize cost and performance for AWS data workloads, ensuring alignment with client objectives.
- Drive AWS AI/ML use cases, including predictive analytics, risk modeling, and fraud detection.
- Work hands-on with AWS services like Redshift, Lake Formation, Glue, Bedrock, SageMaker, DynamoDB, Kendra, OpenSearch, and Athena.
- Lead AWS Data & AI solutioning for RFPs, proposals, and client pitches.
- Define high-level AWS architectures aligned with client needs in data modernization, AI, and analytics.
- Collaborate with AWS partner teams to ensure best-in-class solution designs.
- Work with internal leadership, sales, and delivery teams to shape winning AWS cloud solutions.
- Develop reusable AWS architectures for FS clients in data & AI.
- Contribute to internal accelerators and frameworks for AWS-based analytics solutions.
- Stay updated on AWS best practices, emerging AI/ML trends, and FinTech innovations.
- Mentor internal teams on AWS Data Engineering, AI/ML, and cloud-native architectures.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
