AWS Solutions Architect

Dear Candidate,

If below positions suits you then please share your updated resume with 1 Photo ID proof also your expected yearly salary.

Role: AWS Solutions Architect 
Location: Minneapolis, MN  

Role Summary 
We are looking for an AWS Solutions Architect with strong Data Architecture/Engineering 

Expertise who can operate in a client-facing consulting role. 

This role requires a rare blend of 3 core capabilities: 

1. Client Engagement & Consulting 
2. Deep Data Architecture / Engineering Expertise 
3. Strong Problem-Solving & Techno-functional Thinking 
The ideal candidate is someone who has grown within consulting/service organizations, 
understands how to translate business problems into scalable data solutions, and is still close 
enough to technology to guide hands-on teams. 

Key Responsibilities 
1. Client Engagement & Consulting 
 Act as a trusted advisor to banking clients (business + technology stakeholders) 
 Lead:  
o Discovery workshops 
o Use case identification 
o Solution discussions and architectural reviews 
 Translate business problems (risk, fraud, customer analytics, reporting) into data-driven 
solutions 
 Drive stakeholder alignment across business, data, and engineering teams 
2. Data Architecture & Engineering Leadership 
 Design and own end-to-end data architectures on AWS, including:  
o Data lakes / lakehouse architectures 
o Batch + real-time pipelines 
o Data ingestion, processing, and consumption layers 
 Define data models, governance frameworks, and architecture blueprints 
 Provide hands-on guidance on:  
o ETL/ELT pipelines 
o Streaming (Kafka / Kinesis) 
o Analytics platforms (Redshift / Snowflake / Databricks) 
3. AWS Cloud Architecture 
 Architect scalable and secure AWS environments using:  
o S3, Redshift, Glue, Athena, EMR 
o Lambda, ECS/EKS, Step Functions 
o API Gateway, EventBridge, Kinesis 
 Ensure adherence to:  
o AWS Well-Architected Framework 
o Banking compliance (RBI / PCI-DSS / data security) 
4. Problem Solving & Solutioning 
 Break down ambiguous business problems into structured solutions 
 Drive solution design with trade-off analysis (cost, performance, scalability) 
 Support:  
o Data modernization initiatives 
o Legacy-to-cloud transformations 
o Real-time analytics and reporting solutions 
5. Delivery & Team Leadership 
 Mentor and guide data engineers, cloud engineers, and analysts 
 Ensure high-quality architecture implementation 
 Collaborate with offshore/onshore teams for delivery success 
 Drive best practices in:  
o Data engineering 
o DevOps & automation 
o Testing and observability 
Required Skills 
✅ Core Technical 
 Strong hands-on experience in:  
o Data Engineering (Spark, SQL, Python) 
o Data pipelines & ETL frameworks 
 Deep expertise in AWS data stack:  
o Glue, Redshift, S3, EMR, Athena 
o Kinesis / Kafka for streaming 
 Experience with:  
o Modern data platforms (Databricks / Snowflake preferred) 
✅ Architecture 
 Proven ability to:  
o Design scalable data architectures 
o Define data flows, models, and integration patterns 
 Strong understanding of:  
o Batch vs real-time processing 
o Data governance & quality frameworks 
✅ Consulting & Client Skills 
 Experience in client-facing roles (consulting/services firms preferred) 
 Strong ability to:  
o Lead discussions with business + tech stakeholders 
o Convert requirements into solution designs 
 Excellent communication and storytelling skills 
✅ Banking / Financial Domain (Preferred) 
 Exposure to:  
o Risk, fraud, payments, reporting, regulatory systems 
 Understanding of:  
o Data compliance and security in banking