DataEdge Consulting · 23 hours ago
Data Engineering Architect [W2 ONLY] [NO IMMIGRATION SPONSORSHIP] [REMOTE]
United States
Contract
Remote
Senior Level
7+ years expDataEdge Consulting is seeking a Data Engineering Architect for a global Fortune 500 company in the Food Services industry. The role involves designing and implementing scalable data solutions on AWS to meet the needs of a growing organization.
AppsConsultingInformation TechnologyProject ManagementSoftware
No H1B
Hiring Manager
Sean M.
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
Qualification
Required
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
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
Company
DataEdge Consulting
DataEdge Consulting provides custom software and IT services.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase