AWS Solutions Architect

American IT Systems • Minneapolis, MN

1d • Onsite

About The Position

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.

Requirements

• Strong hands-on experience in: Data Engineering (Spark, SQL, Python)
• Data pipelines & ETL frameworks
• Deep expertise in AWS data stack: Glue, Redshift, S3, EMR, Athena
• Kinesis / Kafka for streaming
• Experience with: Modern data platforms (Databricks / Snowflake preferred)
• Proven ability to: Design scalable data architectures
• Define data flows, models, and integration patterns
• Strong understanding of: Batch vs real-time processing
• Data governance & quality frameworks
• Experience in client-facing roles (consulting/services firms preferred)
• Strong ability to: Lead discussions with business + tech stakeholders
• Convert requirements into solution designs
• Excellent communication and storytelling skills

Nice To Haves

• Banking / Financial Domain Exposure to: Risk, fraud, payments, reporting, regulatory systems
• Understanding of: Data compliance and security in banking

Responsibilities

• Act as a trusted advisor to banking clients (business + technology stakeholders)
• Lead: Discovery workshops, Use case identification, 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
• Design and own end-to-end data architectures on AWS, including: Data lakes / lakehouse architectures, Batch + real-time pipelines, Data ingestion, processing, and consumption layers
• Define data models, governance frameworks, and architecture blueprints
• Provide hands-on guidance on: ETL/ELT pipelines, Streaming (Kafka / Kinesis), Analytics platforms (Redshift / Snowflake / Databricks)
• Architect scalable and secure AWS environments using: S3, Redshift, Glue, Athena, EMR, Lambda, ECS/EKS, Step Functions, API Gateway, EventBridge, Kinesis
• Ensure adherence to: AWS Well-Architected Framework, Banking compliance (RBI / PCI-DSS / data security)
• Break down ambiguous business problems into structured solutions
• Drive solution design with trade-off analysis (cost, performance, scalability)
• Support: Data modernization initiatives, Legacy-to-cloud transformations, Real-time analytics and reporting solutions
• 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: Data engineering, DevOps & automation, Testing and observability

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed