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