The Cloud Data Architect will lead the strategic migration and transformation of enterprise data platforms from legacy systems to modern cloud-native architectures using Databricks.
Requirements
- Lead and architect the migration of data analytics environments from legacy systems to Databricks with a focus on performance, reliability, and scalability.
- Design and implement end-to-end data analytics solutions leveraging Databricks utilities and big data modeling techniques using Python.
- Setup, configure, and deploy Databricks solutions across multidepartment environments.
- Guide teams in implementing best practices for data transformation, aggregation, and workload management.
- Address technical inquiries related to customization, integration, and enterprise architecture.
- Enable business stakeholders to make data-driven decisions through accurate analysis, reporting, and presentation of key findings.
- Make strategic decisions on cloud architecture design, resource allocation, and technology investments.
- Evaluate performance metrics and ROI of Databricks implementations.
- Conduct impact analysis of proposed solutions on client operations, including cost-benefit, scalability, and integration feasibility.
- Prioritize solution components based on business value and technical feasibility.
Benefits
- Competitive salary
- Opportunities for career growth and development