Description100% Remote Contract 1099 or C2C 6-9 months+
MUST be USC
The primary role of the Data Architect is to support and expand the Data & Analytics platforms that process, store, and organize data critical for the data and analytics team. This role requires expertise in data movement and database technologies to support data analytics and Machine Learning (ML) / Artificial Intelligence (AI) capabilities in the cloud. The person should be able to identify performance bottlenecks in complex enterprise applications and suggest tuning opportunities.
RequirementsResponsibilities
- Possess deep functional and technical understanding of Machine Learning technologies (Google Cloud Platform) and leverage it across the client’s large, complex, and diverse landscape.
- Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems.
- Perform root cause analysis of performance issues identified by internal testing and customers, and suggest corrective actions.
- Have business acumen with a strong understanding of how business operates and how to harness data and analytics to meet business needs.
- Be an expert at designing and developing all layers of an application and platform.
- Lead the development of technology transitions or architecture evolutions by creating foundational working solutions and coaching teams on building upon those examples.
- Engage early in project efforts to analyze current solutions, provide options and recommendations, understand business process impact, and provide accurate estimates.
- Design and architect applications across multiple domains including Data Engineering, Data Science, Data Visualization, and Application Development.
- Demonstrate a deep understanding of business processes and technology building blocks.
- Lead collaboration with project teams, application, data, integration, infrastructure, and security enterprise architects to develop and deploy comprehensive solutions.
- Ensure projects are delivered in line with design, roadmap, and standards.
- Design end-to-end data-driven solutions as a Data Architect.
- Influence adoption across IT, Business, and Architecture groups.
- Create designs considering data sources & dependencies, development and deployment landscapes.
- Suggest process and technical improvements for platforms and processes supported by the team.
- Architect the GCP data platform to meet non-functional requirements of the consumption layer and solutions built on top.
- Identify potential performance and availability challenges proactively, implement recommendations, and ensure systems’ capacity and availability exceed requirements.
- Partner with solution architects, data engineers, platform engineers, and other team roles to assess needs, design capabilities, establish roadmaps, and troubleshoot issues.
- Communicate effectively across all levels and create artifacts to deliver messages clearly.