Data Engineer Architect

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Data Engineer
Python
SQL
ETL
ODS
OLTP
AWS Lambda
AWS Glue
AWS S3
API Driven Data Access
DBT
NoSQL
Snowflake
AWS Certified Data Analytics - Specialty
AWS Certified Solutions Architect

Job Details

Data Engineering Architect / Remote is OK / Our DIRECT Client

About our Customer:

Our premium customer, a global Fortune 500 company & a leader in the Food Services industry is looking for a Data Engineering Architect , whose primary purpose is to implement robust, scalable, and high-performing data solutions on AWS.

Qualifications:

  • 7+ years of experience in data architecture, engineering, or similar roles.
  • Strong programming skills in Python & SQL.
  • Strong experience building ETL or Data Engineering solutions using data pipelines.
  • 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.
  • 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.
  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.