- Experience with developing and implementing a data security & compliance strategy.
- Experience with data governance, data quality management, and data privacy.
- Experience with data integration and data interoperability projects.
- Experience with Cloud MLOps solutions.
- Experience with AWS SageMaker & StepFunctions.
Data Modelling and Database Design:
- Lead the design and development of the AWS data and machine learning platform architecture, ensuring scalability, reliability, and security.
- Define best practices and standards for data and ML architecture on AWS.
- Architect data models and design databases to support efficient storage and retrieval of telecom-related data.
- Optimize data structures for both transactional and analytical workloads.
- Design scalable and cost-effective machine learning infrastructure on AWS, encompassing model training, deployment, and monitoring.
- Implement solutions for model versioning, A/B testing, and automated retraining.
Data Migration Program:
- Develop and execute a comprehensive program for migrating existing workloads to AWS.
- Collaborate with cross-functional teams to assess, plan, and execute migration strategies, minimizing downtime and ensuring data integrity.
- Familiarity with AWS EMR & RedShift
- Evaluate, recommend, and implement big data technologies on AWS for processing and analysing large datasets.
- Design solutions for real-time data processing and analytics.
Cost Optimization:
- Implement cost-effective solutions on AWS, optimizing resource utilization and ensuring efficient use of cloud resources.
- Monitor and analyze cost patterns, providing recommendations for optimization.
- Continuously optimize architecture based on performance metrics.
Data Security, Compliance & Access Management:
- Ensure that the data architecture complies with relevant data protection regulations (e.g., GDPR)
- Design data architecture with robust security mechanisms to protect sensitive and confidential data.
- Ensure encryption of data at rest and in transit.
- Implement data encryption methods across databases and data transfer channels to protect sensitive information.
- Implement role-based access controls (RBAC) to ensure that only authorized personnel have access to specific datasets.
- Establish and enforce strict data access controls and permissions to ensure authorized usage and prevent unauthorized access.
QUALIFICATIONS:
- Bachelors or masters degree in a related technical field (e.g., Computer Science, Data Science, Information Technology).
- Extensive experience as a data and machine learning architect with a focus on AWS.
- Strong expertise in database design, big data technologies, and machine learning frameworks.
- Proficiency in database management systems, ETL tools, and data warehousing solutions.
- Experience with data governance, data quality management, and data privacy.
- Proven experience in leading migration programs to AWS.
- AWS certifications in relevant areas (e.g., AWS Certified Solutions Architect, AWSCertified Machine Learning).
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