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Sr. Cloud Data Architect
Posted about 7 hours agoViewed
Requirements:
- Expertise in designing scalable, efficient data architectures and operational data stores (ODS), both on-premises and cloud-based solutions.
- Deep knowledge of cloud platforms and their respective database services, storage solutions, and architecture best practices regardless of the cloud provider.
- Proven ability to design and execute complex data migration strategies, ensuring data integrity, security, and minimal downtime.
- Expertise in system performance tuning and database optimization, ensuring scalability and efficiency in high-transactional environments.
- Excellent interpersonal and communication skills to work effectively with technical teams, stakeholders, and leadership.
- Technical Proficiency in Key database technologies – AWS, Azure, Oracle Exadata, Oracle SQL, SQL.
Responsibilities:
- Embark on an initiative to modernize LANL’s Operational Data Store (ODS) by transitioning from its current fully on-premises database solution to a hybrid or full cloud-based solution.
- Create and develop a roadmap to be used for implementing this modernization including defining the strategy, architecture, and implementation framework necessary to enable a seamless and effective migration to the cloud.
- Analyze the existing on-prem ODS architecture, data models, access controls, and integration processes to understand dependencies and potential migration challenges.
- Assess various cloud service providers and platforms to identify the best fit for LANL’s operational and technical requirements.
- Design a scalable, secure, and efficient architecture for the cloud-based ODS, incorporating best industry’s practices for data storage, integration, and access.
- Identify and implement measures to maintain data security, privacy, and regulatory compliance throughout the migration and in the new cloud environment.
- Develop a plan for the migration of data from the current database to the cloud, ensuring data integrity and minimal downtime.
- Recommend strategies for optimizing the performance and scalability of the new cloud-based ODS to meet current and future needs.
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