Data Engineering Architect [W2 ONLY] [NO IMMIGRATION SPONSORSHIP] [REMOTE]

[W2 ONLY] [REMOTE] [NO IMMIGRATION SPONSORSHIP] AWS Data Engineer - Architect / Charlotte, NC or REMOTE / CTH About our Customer & Role: Our direct customer, a global Fortune 500 company & a leader in the Food Services industry is looking for a “Data Engineering Architect”, who will be responsible for designing and implementing robust, scalable, and high-performing data solutions on AWS. Ensures cloud data infrastructure meets the needs of growing organization. KEY SKILLS: Python, Angular/TypeScript, AWS services (S3, PostgreSQL, DynamoDB, Athena, Snowflake, Lambda, and Glue). Qualifications: • 7+ years of experience in data architecture, engineering, or similar roles. • Very strong programming skills in Python. • Expertise in ETL or Data Engineering role building and implementing data pipelines. • Strong understanding of design best practices for OLTP systems, ODS reporting needs, and dimensional database practices. • Hands-on experience with AWS Lambda, AWS Glue, and other AWS services. • Proficient in Python and SQL with the ability to write efficient queries. • Experience with API-driven data access (API development experience a plus). • Solid experience with database technologies (SQL, NoSQL) and data modeling. • Understanding of serverless architecture benefits and challenges. • Experience working in agile development environments. • AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect) are highly desirable. Preferred Skills: • Experience with modern data stack technologies (e.g., DBT, Snowflake, Databricks). • Familiarity with machine learning pipelines and AI-driven analytics. • Background in DevOps practices and Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation. • Knowledge of CI/CD pipelines for data workflows. Responsibilities: • Define, build, test, and implement scalable data pipelines. • Design and implement cloud-native data architectures on AWS, including data lakes, data warehouses, and real-time data processing pipelines. • Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues. • Collaborate with development, analytics, and reporting teams to develop data models that feed business intelligence tools. • Design and build API integrations to support the needs of analysts and reporting systems. • Develop, deploy, and manage AWS Lambda functions written in Python. • Develop, deploy, and manage AWS Glue jobs written in Python. • Ensure efficient and scalable serverless operations. • Debug and troubleshoot Lambda functions and Glue jobs. • Collaborate with other AWS service teams to design and implement robust solutions. • Optimize data storage, retrieval, and pipeline performance for large-scale distributed systems. • Ensure data security, compliance, and privacy policies are integrated into solutions. • Develop and maintain technical documentation and architecture diagrams. • Stay current with AWS updates and industry trends to continuously evolve the data architecture. • Mentor and provide technical guidance to junior team members and stakeholders.