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