Overview
On Site
Depends on Experience
Full Time
No Travel Required
Skills
Data Architect
aws
Data Governance
AI/ML
Delivery
Cloud Data
Presales and Technical
RFP
Financial solutions
AWS cost optimization
Job Details
Sr. AWS Solution Architecture & Delivery - Full Time Role In East coast
JD:
Lead AWS Data & AI projects across 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.
Key Qualifications:
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.
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.
Strong knowledge of AWS cost optimization, security, and compliance (SOC 2, GDPR, HIPAA, FINRA).
Exposure to Gen AI / LLMs is a plus.
Ability to support pre-sales and RFP solutioning, including defining AWS architectures."
Lead AWS Data & AI projects across 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.
Key Qualifications:
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.
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.
Strong knowledge of AWS cost optimization, security, and compliance (SOC 2, GDPR, HIPAA, FINRA).
Exposure to Gen AI / LLMs is a plus.
Ability to support pre-sales and RFP solutioning, including defining AWS architectures."
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.