Design and implement scalable cloud data solutions on platforms like AWS, Azure, or GCP, ensuring high availability and performance.

Develop data ingestion pipelines to collect and process data from various sources into the cloud data warehouse.

Create and maintain data models and database schemas optimized for cloud environments, focusing on efficiency and cost-effectiveness.

Implement data security measures, including encryption, access controls, and compliance with data privacy regulations (e.g., GDPR, CCPA).

Collaborate with data scientists and business analysts to understand data requirements and deliver solutions that meet their needs.

Monitor and troubleshoot data pipelines and data storage systems to ensure data quality and reliability.

Automate data processes using scripting languages (e.g., Python) and orchestration tools to improve efficiency.

Evaluate and recommend new cloud data technologies and services to improve the organization's data infrastructure.

Document data architecture designs, data flows, and data storage configurations for future reference and maintenance.

Provide training and support to other team members on cloud data technologies and best practices.

Design scalable and robust data architectures on cloud platforms like AWS, Azure, or GCP.

Develop data models optimized for cloud environments, considering factors like cost and performance.

Build and maintain ETL (Extract, Transform, Load) pipelines for data ingestion and processing.

Implement and manage data lakes for storing large volumes of structured and unstructured data.

Implement security measures to protect data stored in the cloud, ensuring compliance with regulations.

Design and optimize data warehouses for analytical reporting and business intelligence.

Optimize data systems for performance, including query optimization and indexing strategies.

Identify and implement strategies to reduce cloud data storage and processing costs.

Establish and enforce data governance policies to ensure data quality and consistency.

Develop and test disaster recovery plans for cloud data infrastructure.

Plan and execute data migration from on-premises systems to the cloud.

Automate routine data management tasks using scripting languages.

Design and implement cloud-based data solutions, ensuring scalability and reliability.

Develop data models and database architectures optimized for cloud environments.

Manage data migration projects, moving on-premises data to the cloud.

Implement data governance policies and ensure data security in the cloud.

Optimize data pipelines for efficient data processing and analysis.

Collaborate with data scientists and engineers to support their data needs.

Evaluate and recommend cloud data technologies and services.

Monitor and troubleshoot data infrastructure performance in the cloud.

Automate data-related tasks using scripting and cloud automation tools.

Ensure compliance with data privacy regulations and industry standards.

Create and maintain documentation for data architectures and processes.

Provide technical guidance and mentorship to junior data professionals.

Stay updated with the latest trends and technologies in cloud data management.