Cloud Data Protection Engineer

Cloud Data Protection Engineer 
Location: Charlotte, NC
Duration: 18+ Months
Exp- 10+

Must have: (the IaaS, PaaS and SaaS layers, big data platform, Authentication/Authorization, Data encryption techniques (field level, db level, application layer encryption) masking tokenization techniques, and other security services.)

Cloud Security & Data Protection Engineer is responsible for designing, engineering and implementing a new, cutting edge, cloud platform security for transforming our business applications into scalable, elastic systems that can be instantiated on demand, on cloud.
•       The role requires for the Engineer to design, develop, configure, test, debug and document all layers of the Cloud stack to satisfy the new big data system & Security requirements.
•       This is expected to range from Cloud hosting platform to the design and implementation of higher level services such as the IaaS, PaaS and SaaS layers, big data platform, Authentication/Authorization, Data encryption techniques (field level, db level, application layer encryption) masking tokenization techniques, and other security services. The focus of this role is on the Security of the product and service for cloud big data platform, with understanding of ETL, data consumption and data migration security
•       The ideal candidate should be comfortable being directly involved with the design, development, testing, and operation of the solutions that will be composed into the Cloud Services environment. They will also provide comprehensive security consultation to business unit, IT management and staff at the highest technical level. Be able to conduct detailed threat analysis and identify mitigating security controls and solutions.
•       They will work closely with Cloud Services management to identify and specify complex business requirements and processes that drive the platform and application security Patterns and roadmap. They will research and evaluate alternative solutions.

Knowledge of ETL tools , data lineage , security and privacy ML and AI, DSPM tools , Encryption Technologies and key management best practices is a must.