Enterprise Technical / Data Architect

Enterprise Data Architect

6-12 Months Contract to Hire

Atlanta, GA

Key Accountabilities

• Leads the Enterprise Data Architecture across the eco-system with focus on:
• Cloud Platforms in Google Cloud, AWS, and Salesforce
• On-premises and PaaS platforms such as Oracle, Corporate Systems, and Financial Systems
• Big Data Tools in Google Cloud
• ETL & Data Integration
• Data Governance & Quality
• Data Security
• Data Compliance & Residency
• Responsible for cataloging and defining the Data architectural artifacts including Data Flows, Logical & Physical Data Models, Data integrations, and more.
• Leads the architectural efforts of large, complex projects (e.g., a family of products or IT services) involving multiple vendors, multiple technologies, leading‐edge technologies, and broad implications for architecture and develops roadmap incorporating industry best practices.
• Supports the development of complex proposals related to integrating multiple architecture domains (i.e., process, application, data, infrastructure).
• Manages the architectural lifecycle, ensuring that engineering and maintenance phases conform to the architecture.
• Makes strategic decisions about system design, implementation, and maintenance.
• Analyzes systems and processes from end to end.
• Analyzes quality attributes of solutions and evaluates the technical and economic feasibility of proposed solutions.
• Interacts with clients or senior management in geographically and/or socially diverse teams on strategic operations, serving as an expert in several specialties or components.
• Participates as a member of a team to assess and recommend a migration strategy to new technologies.
• Displays collaboration & leadership by leveraging communication skills to liaise with senior management, business leaders, and IT teams to ensure alignment on data strategy.
• Enable cross-functional collaboration by working closely with software developers, data engineers, security teams, and business analysts to implement data solutions.
• Stays current on the latest technologies and trends.

Required Skills:

• Data Focused:
• Data Warehouse ecosystems
• Data Design Principles and Best Practices
• Reporting and Analytics Design Platforms
• Data Platforms knowledge for Data Residency decisions
• BI tools
• Analytic Tools
• Decision Science Experience, including Machine Learning or Artificial Intelligence
• Forecast and Demand Planning Applications
• Master Data Management Applications
• Relational & NoSQL Databases
• Middleware Focused:
• Enterprise Caching Architectures
• Messaging Based Architecture e.g. Kafka
• Micro Service Architecture
• Public Facing APIs and API Gateways
• Enterprise Integration Patterns
• Data Transformation and ETL

Hot Skills:

• Cloud Focused:
• Google Cloud & Big Query
• Salesforce and Data Cloud
• AWS and cloud-native architectures
• Data Focused:
• Hospitality Data
• Big Data
• Relational Data
• BI Tools & Reporting (Tableau, Power BI, or Looker)

Thanks & Regards,