AWS Data Engineering Architect - Remote Position

About the Role

We are seeking an experienced AWS Data Engineering Architect to join our team remotely. In this role, you will design and implement robust, scalable, and high-performing data solutions on AWS, ensuring that our cloud data infrastructure meets the needs of our growing organization.

What You'll Do

• 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.

Requirements

• 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.

Nice to Have

• 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.

What We Offer

• Competitive salary range of $120,000 - $150,000 per year.
• Fully remote work environment, allowing for flexibility and work-life balance.
• Opportunity to work with a leading Fortune 500 company in the Food Services industry.
• Access to continuous learning and professional development opportunities.
• Collaborative team culture with a focus on innovation and excellence.