Overview
On Site
Contract - W2
Contract - 6+
Skills
MDM Python (AWS) Data Architect
Job Details
Position: MDM Python (AWS) Data Architect/Engineer
Location:Charlotte, NC ( Remote but some travel to Charlotte, NC required )
Duration: 6+ months
Visa:or citizens
What You'll Need to Have:
Bachelor's degree in Computer Science, Information Systems, Analytics, or a related field.
5+ years of experience in data architecture, engineering, or similar roles.
3+ years of programming with Python.
3+ years in an ETL or Data Engineering role building and implementing data pipelines.
Experience working in a Master Data Management role is IDEAL.
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.
Highly self-motivated, detail-oriented, and able to work independently.
Strong analytical thinking, problem-solving, and communication skills.
AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect) are highly desirable.
5+ years of experience in data architecture, engineering, or similar roles.
3+ years of programming with Python.
3+ years in an ETL or Data Engineering role building and implementing data pipelines.
Experience working in a Master Data Management role is IDEAL.
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.
Highly self-motivated, detail-oriented, and able to work independently.
Strong analytical thinking, problem-solving, and communication skills.
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.
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.
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.