AWS Solutions Architect

AWS Solutions Architect – Data & Analytics Consulting

Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.

We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.

Incedo delivers ROI from AI @ Scale through the “Power of 3”:

Engineering & Operations excellence

Are you passionate about solving complex business problems through data and cloud technologies? We're looking for an experienced AWS Solutions Architect with strong Data Architecture & Engineering expertise to join our team in a highly client-facing consulting role.

This opportunity is ideal for professionals who bring together consulting acumen, deep technical expertise, and strong problem-solving capabilities to design and deliver enterprise-scale data platforms for banking and financial services clients.

What You'll Do

Act as a Trusted Advisor

• Lead discovery workshops, solution discussions, and architecture reviews with business and technology stakeholders.
• Translate complex business challenges in areas such as risk, fraud, customer analytics, and regulatory reporting into scalable data solutions.
• Drive alignment across business, data, and engineering teams.
• Architect and lead implementation of enterprise data platforms on AWS.
• Build data lakes/lakehouse architectures, batch and real-time pipelines, and analytics ecosystems.
• Define data models, governance frameworks, and architecture blueprints.
• Design secure, scalable, and high-performing cloud architectures using AWS services including:
• Lambda, ECS/EKS, Step Functions
• API Gateway, EventBridge, Kinesis
• Ensure adherence to AWS Well-Architected principles and banking compliance requirements.
• Lead cloud migration and legacy modernization initiatives.
• Design solutions balancing scalability, performance, cost, and security.
• Enable real-time analytics, reporting, and data-driven decision-making.
• Guide data engineers, cloud engineers, and analysts.
• Promote best practices across data engineering, DevOps, automation, testing, and observability.
• Collaborate with global teams to ensure delivery excellence.

What We're Looking For

Strong hands-on expertise in:

• ETL/ELT frameworks and large-scale data pipelines
• Real-time streaming technologies: Kafka and/or Kinesis
• Modern data platforms such as Databricks and Snowflake

Proven experience in:

• Data modeling, governance, quality, and integration frameworks
• Batch and real-time processing architectures
• Client-facing consulting and solution leadership

Excellent stakeholder management, communication, and storytelling skills

Banking & Financial Services experience preferred:

• Risk, Fraud, Payments, Regulatory Reporting
• Data security, compliance, and governance requirements