Implement the services defined in the blueprint ultimately developed by our solution architect
Partner with our AWS and IT teams to design and deploy a cloud big data platform that is fit for purpose and in line with business goals and objectives
Develop and support features for platforms such as AWS S3 and Redshift
Contribute towards the definition and SDLC adoption of strategic enterprise platform architecture standards including partnering with Data Architecture on naming and modelling standards supporting data at rest (logical and physical models) and data in motion (messaging, API’s)
Develop platform standards for how integrations are developed, and how features are developed within the ecosystem
Provide design and technical support for application teams that are re-architecting legacy/batch data solutions into more modern, event-based technical solutions for on-prem and the public cloud (AWS)
Provide support to enterprise application teams to define re-usable critical cloud technologies
Requirements
10+ years experience as a cloud database engineer with a proven track record of delivery
Expertise with AWS infrastructure such as S3, Redshift, Glue, and Athena required
Hands-on experience as a database developer and/or administrator is a must – from initial logical design to physical deployment, for both new build and change management
Working experience with python or ansible for the purposes of developing a software defined infrastructure
Experience engineering and supporting enterprise-level big data platforms is required
Self-starter with a willingness to step outside normal boundaries given the startup nature of this role
Team-oriented, with proven ability to work well and collaborate globally across multiple and disparate teams
Bachelor’s or Master’s degree in Systems Engineering, Computer Science or similar technical discipline
Tech Stack
Amazon Redshift
Ansible
AWS
Cloud
Python
SDLC
Platform Engineer at My Personal Recruiter | JobVerse