Solutions Architect

Job Description

Solution Architect – AWS Data Platform

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Company: Confidential Global Hospitality Organization

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Location: Remote (Preferably in the Greater Chicago Area)

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Duration: 6+ Months

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Rate: $75-$85 per hour (C2C), depending on experience

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Position Overview

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Our client is focused on advancing its business through data-driven decision-making, automation, and modern cloud technologies . This mission serves as the foundation for creating innovative digital experiences and improving the way data and information are managed across the enterprise.

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Our client is seeking an experienced Solution Architect – AWS Data Platform to join a growing Data Platform Architecture team. This individual will work closely with data engineering, data product management, data science, application development, architecture, and migration teams to design and implement enterprise-scale data solutions.

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The Solution Architect will play a key role in the continued development of an Enterprise Data Platform , helping shape and build modern analytical, data engineering, and cloud solutions that support internal business and technology stakeholders.

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This is a hands-on architecture position requiring deep expertise in AWS, cloud data platforms, data pipelines, security, automation, and infrastructure-as-code . The ideal candidate combines strategic architecture capabilities with the technical depth to prototype, design, and help implement solutions.

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The successful candidate will be highly motivated, collaborative, curious, and passionate about using AWS and modern data technologies to solve complex business problems. This individual should be comfortable operating in a highly visible, fast-paced environment and building strong relationships across multiple levels of an organization.

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Key Responsibilities

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• Provide expert architectural guidance to projects to ensure processes, technologies, and deliverables align with the client's target-state architecture, security standards, and enterprise technology strategy .
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• Design and develop enterprise data solutions based on established architecture principles and standards, leveraging modern cloud and data technologies.
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• Help design, build, and evolve a scalable, secure, resilient, and high-performing Enterprise Data Platform on AWS .
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• Architect and implement solutions supporting data migration, data ingestion, data delivery, analytics, and machine learning pipelines .
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• Design and implement AWS Identity and Access Management (IAM) roles, policies, permissions, and security controls .
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• Develop resilient, reliable, performant, and secure data platforms and applications.
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• Partner closely with application development, data engineering, data science, architecture, and product teams on solution design, project planning, and implementation.
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• Design and support scalable and robust data pipelines that enable enterprise analytics and data-driven decision-making.
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• Automate the provisioning and deployment of AWS services, infrastructure, data solutions, and BI applications .
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• Develop and maintain infrastructure-as-code and deployment automation using technologies such as CloudFormation and Terraform .
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• Support the architecture and execution of on-premises-to-AWS cloud migrations .
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• Design and configure AWS monitoring, alerting, and observability capabilities to ensure cloud resource availability and performance.
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• Create, review, and interpret enterprise architecture diagrams, data flows, security requirements, and technical design documentation .
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• Evaluate emerging cloud technologies, tools, and architectural approaches and recommend capabilities appropriate for the client's environment.
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• Develop prototypes and proof-of-concept solutions using new technologies and architectural patterns.
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• Collaborate with engineering and migration teams to help establish cloud strategy, architecture standards, and implementation approaches.
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• Troubleshoot complex technical, performance, security, and integration issues across cloud and data environments.
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Required Technical Qualifications

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• 6+ years of experience in application engineering, platform engineering, data engineering, cloud engineering, business intelligence, analytics, or related technical disciplines.
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• 4+ years of hands-on AWS cloud data engineering and/or architecture experience , including implementing cloud best practices and industry standards.
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• Strong experience designing and implementing enterprise-scale data platforms and data architectures on AWS .
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• Experience with cloud data warehousing technologies such as Snowflake, Amazon Redshift, or comparable platforms .
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• Strong hands-on knowledge of AWS technologies, including:
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• Amazon S3
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• Amazon EC2
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• Amazon RDS
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• AWS Lambda
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• AWS CloudFormation
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• Amazon Kinesis
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• AWS Data Pipeline or comparable AWS data orchestration services
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• Amazon EMR
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• AWS Step Functions
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• Amazon VPC
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• AWS IAM
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• Security Groups
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• Experience with database and programming technologies such as SQL, Python, PostgreSQL, Amazon Aurora, Amazon RDS, MongoDB, and Redis .
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• Strong understanding of AWS IAM roles, policies, permissions, and cloud security practices .
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• Experience with CI/CD technologies, deployment pipelines, and automation , including tools such as:
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• GitHub Actions
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• Jenkins
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• AWS CodePipeline
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• AWS CloudFormation
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• Terraform
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• Strong experience with Infrastructure as Code (IaC) and automated cloud deployments.
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• Strong scripting and automation experience using Python and/or PowerShell .
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• Experience configuring AWS cloud monitoring, logging, and alerting for resource availability, reliability, and performance.
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• Strong understanding of PaaS and SaaS application architecture and performance .
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• Ability to understand, develop, and communicate enterprise-level application and data architecture diagrams .
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• Strong understanding of enterprise IT security, networking, access control, and cloud governance requirements .
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Additional Qualifications

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• Experience designing and building scalable, reliable, and robust data pipelines supporting analytics and business decision-making.
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• Experience planning and executing on-premises-to-AWS migration initiatives .
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• Ability to solve complex technical problems within ambiguous and rapidly changing environments.
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• Demonstrated ability to operate effectively in a dynamic, fast-paced organization and collaborate across technical and business teams.
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• Strong analytical and problem-solving capabilities.
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• Ability to manage multiple projects, priorities, and stakeholder relationships simultaneously.
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• Strong attention to detail, accuracy, and technical quality.
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• Demonstrated ability to troubleshoot complex technical issues.
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• Passion for programming, automation, cloud architecture, data technologies, and continuous learning.
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• Ability to build productive relationships across engineering, architecture, data, product, security, and business organizations.
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• Strong written and verbal communication skills, including the ability to explain complex architectural concepts to technical and non-technical stakeholders.
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• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline , or equivalent relevant professional experience.
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Preferred Qualifications

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• Experience with large-scale enterprise streaming and event-driven architectures , including technologies such as Apache Kafka .
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• Experience with Kubernetes, Docker, AWS Fargate, or other containerization and orchestration technologies .
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• Experience implementing and supporting applications across both Windows and Linux server environments .
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• Strong knowledge of cloud networking, including VPCs, security groups, network controls, and policy management .
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• Experience managing cloud resources across multiple operating systems, including Linux, UNIX, and Windows .
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• Experience with advanced data processing, machine learning pipelines, or cloud-native analytics architectures.
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• Advanced degree in Computer Science, Computer Engineering, Data Engineering, or a related technical discipline .
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