Data Architect

Atlanta, GA, US • Posted 2 days ago • Updated 3 hours ago
Full Time
On-site
USD $160,000.00 - 170,000.00 per year
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Job Details

Skills

  • Extract
  • Transform
  • Load
  • ELT
  • Streaming
  • SQL
  • Python
  • Big Data
  • Query Optimization
  • Use Cases
  • Data Governance
  • Informatica
  • Cloud Computing
  • Google Cloud
  • Google Cloud Platform
  • Analytics
  • Artificial Intelligence
  • Machine Learning (ML)
  • Business Intelligence
  • Collaboration
  • Communication
  • Customer Relationship Management (CRM)
  • Business Strategy
  • Performance Tuning
  • Privacy
  • Marketing

Summary

Location: Atlanta, GA
Salary: $160,000.00 USD Annually - $170,000.00 USD Annually
Description:
Job: Data Architect

Location: Atlanta, GA
Employment: Fulltime

Role Overview

Seeking a Data Platform professional with strong hands-on experience in modern data architectures, data pipelines, and analytics-ready platforms. The role involves working closely with architects, engaging with clients, and supporting business strategy through robust data solutions.

Must-Have Technical / Functional Skills
  • Strong hands-on experience with modern data platforms and architectures
  • Deep understanding of ETL/ELT, streaming, and event-driven patterns
  • Proficiency in SQL, Python, and big data query optimization
  • Experience developing data models, pipelines, APIs, and integration strategies across multiple data sources and platforms
  • Ability to ensure data architectures support analytics, AI/ML, and business intelligence use cases
  • Advocate and promote best practices in coding, design, and performance optimization
  • Familiarity with data governance tools such as Collibra, Alation, and Informatica
  • Skilled in working across multiple deployment environments including cloud, on-premises, and hybrid
  • Good to have understanding of Google Cloud

Roles & Responsibilities
  • Work on architectural asks and requirements provided by architects
  • Design and implement data models, pipelines, APIs, and integrations aligned with architectural guidance
  • Ensure data platforms and pipelines meet analytics, AI/ML, and BI needs
  • Collaborate with stakeholders across technical and business teams
  • Demonstrate strong communication and client management skills
  • Support and help drive client business strategy through data solutions
  • Follow and promote established best practices in coding, design, and performance optimization

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
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.
  • Dice Id: cxjudgpa
  • Position Id: 1126606
  • Posted 2 days ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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