AWS TECH LEAD (CHARLOTTE, NC)

Compass Group•Charlotte, NC

About The Position

We are CDAI—the data and artificial intelligence engine of Compass Group North America. We design and deliver custom, in-house solutions tailored to the unique complexities of food service and hospitality. Our work is grounded in strong data foundations, layered with AI to enhance forecasting, streamline operations, and enable better, faster decision-making across Compass Group. With deep integration into the business and a commitment to white-glove service, CDAI empowers associates, clients, and customers through innovative, future-forward technologies.Job Summary:We are seeking a seasoned AWS Tech Lead with deep expertise in designing and delivering modern, scalable data and application solutions in the cloud. This role blends strategic architecture leadership with hands-on technical implementation across AWS-native services and Python-based data pipelines. The ideal candidate will have a strong foundation in cloud architecture, data engineering, integration, and DevOps practices, while also being comfortable leading cross-functional teams and aligning solutions to business goals.The primary function of this role is to lead the design and implementation of Master Data Management (MDM) solutions, while also contributing to broader cloud-based solution architecture across various domains and platforms.

Requirements

5+ years of experience in cloud architecture, data engineering, or solution development in AWS environments.
2+ years in a technical leadership role, overseeing architecture decisions and mentoring developers.
Expertise in core AWS services: S3, Lambda, Glue, Redshift, DynamoDB, API Gateway, Step Functions, Aurora.
Proficient in Python for scripting, automation, and ETL development.
Familiarity with microservices architecture, API design, and serverless computing models.
Solid understanding of DevOps practices including CI/CD, observability, and infrastructure automation.
Experience managing delivery using Agile, Scrum, or SAFe methodologies.
Exposure to Master Data Management (MDM) platforms such as Informatica, Reltio, or Stibo.
AWS certifications (e.g., Solutions Architect, DevOps Engineer, Data Analytics).
Knowledge of modern data stack and Lakehouse architecture (e.g., Lake Formation, Athena, Snowflake).
Familiarity with metadata management, data quality frameworks, and data governance.
Understanding of data privacy and compliance (GDPR, CCPA).
Integration experience with enterprise systems and tools like ServiceNow.

Responsibilities

Collaborate with product and business stakeholders to align architectural decisions with product vision and enterprise objectives.
Lead solution design and development across data platforms, APIs, applications, and services using AWS-native tools.
Architect cloud-native systems using services such as AWS Glue, Lambda, S3, Redshift, DynamoDB, Aurora, and Step Functions.
Design robust, secure, and scalable data pipelines and microservices using Python and modern cloud patterns.
Translate complex business needs into scalable, maintainable technical solutions that prioritize performance and cost efficiency.
Guide technical teams through development best practices, code reviews, and architecture discussions.
Drive cloud modernization initiatives, establishing IaC practices using AWS CDK, Terraform, or CloudFormation.
Define and enforce cloud architecture standards, security protocols, governance, and operational best practices.
Utilize Agile or SAFe methodologies to deliver value iteratively while tracking progress and managing risk.
Promote a culture of innovation, mentoring engineers and fostering collaboration across teams.
Integrate cloud solutions with enterprise platforms (e.g., CRM, ERP, BI tools) via APIs and data connectors.
Leverage AI/LLM tools (e.g., ChatGPT) for documentation, testing, automation, and accelerating development workflows.