Data Architect

Job Title: IT Data Architect
Duration: Start & End Date: ASAP and 6-month contract.
Location: Atlanta GA (Hybrid in office 3 days a week) Locals preferred

Role Purpose

• We are seeking an experienced IT Data Architect to define and guide the enterprise-wide data strategy across cloud and on-premises ecosystems. This role will provide architectural leadership to Agile delivery teams, ensuring scalable, secure, and high-quality data solutions aligned with business and technology goals.
• The Data Architect will establish architectural standards, governance frameworks, and design principles that ensure consistency, performance, and compliance across all data platforms and integrations.

Key Responsibilities

• Define and lead enterprise data architecture strategy across cloud and hybrid environments
• Design scalable data ecosystems across AWS, Google Cloud, Salesforce, and on-premises platforms
• Establish architecture standards for data integration, ETL pipelines, data modeling, and governance
• Develop and maintain data architecture artifacts including data flows, logical and physical models
• Lead architecture design for large-scale, multi-system, multi-vendor initiatives
• Evaluate and guide migration strategies to modern cloud-based data platforms
• Ensure alignment of architecture with security, compliance, and data residency requirements
• Collaborate with engineering, analytics, and business teams to deliver end-to-end data solutions
• Assess technical feasibility, performance, scalability, and cost optimization of solutions
• Promote architectural best practices across Agile delivery teams
• Stay current with emerging technologies in data, cloud, AI, and analytics

Required Experience

• 10+ years of overall IT experience with strong exposure to multiple technologies
• 3 5 years of hands-on experience as a Data Architect or Lead Data Architect
• Strong background in designing enterprise-scale data platforms and architecture
• Experience working in Agile, Scrum, or Kanban environments

Core Technical Skills & Data Architecture & Engineering

• Data Warehousing, Data Modeling, and Data Design Principles
• ETL/ELT pipelines and Data Integration frameworks
• Relational and NoSQL databases
• Master Data Management (MDM)
• BI and reporting platforms (Tableau, Power BI, Looker)
• Big Data ecosystems and analytics platforms

Cloud Platforms

• AWS cloud architecture and native services
• Google Cloud Platform (BigQuery, Data services)
• Salesforce ecosystem and data integration

Integration & Middleware

• API design and management (REST, API Gateway)
• Microservices architecture
• Messaging systems (Kafka or equivalent)
• Enterprise integration patterns and caching strategies

Advanced Areas

• Machine Learning / AI exposure for analytics solutions
• Forecasting, demand planning, and decision science concepts
• Data governance, security, and compliance frameworks

Leadership & Soft Skills

• Strong stakeholder management and communication skills
• Ability to work with senior leadership and cross-functional teams
• Strategic thinking with strong problem-solving ability
• Ability to guide distributed teams and vendor partners

Regards

Tim Patten

Tim (at) pullskill (dot) com

551-272-o2o3