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
- 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