Data Engineer Architect

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
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.
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