10-12 years
5-7 years in big data architecture
Responsibilities Design and implement scalable big data architectures on Cloud
Environments to handle large volumes of data efficiently and securely.
Develop and manage data pipelines for ingesting, processing, and
analyzing large datasets, ensuring data quality and integrity.
Collaborate with data scientists, data engineers, and business
stakeholders to understand data requirements and design solutions that
meet business needs.
Integrate data from multiple sources and platforms into a unified data
architecture, ensuring seamless data flow and accessibility across the
organization.
Develop and maintain data storage solutions, including data lakes and
data warehouses, using Cloud native and/or Cloud based services /
solutions.
Implement data security and compliance measures to protect sensitive
information and ensure adherence to industry standards and regulations.
Optimize data processing and storage for performance, scalability, and
cost-effectiveness, leveraging Cloud native services or Cloud based
services/solutions.
Lead the design and implementation of real-time data streaming
solutions.