What are the responsibilities and job description for the Cloud Data Architect position at Intellibee?
Top Skills:
- 3 years of experience in the following:
- AWS Cloud Services; Strong development background;
- AI;
- Snowflake.
- TOGAF certification not required but is a nice to have to demonstrate architecture knowledge.
- Must have excellent communication skills – both verbal and written, collaborative team player, and able to work in a matrixed environment across LOB’s, Proactive – positive attitude, team player.
- Motivated and able to look for improvement opportunities.
Job Description:
This associate will be responsible to research and conduct POCs to ensure solutions are built in alignment with platform principles and standards and drive the architecture for key cross team/cross product development projects (via architecture/design documents and developing code key modules).
The Work Itself:
- Developing data integration architectures and define architecture standards & guidelines (architecture and design patterns)
- Defines deployment topology by working with peers across the technology organization.
- Optimizes use of Ally’s Platform and technologies.
- Work with Business and delivery partners to understand future requirements and implications for architecture
- Identify architecture solution alternatives, driving business requirements, and availability of new technologies
- Identify new technologies and tools to support architecture(s) and determine architectural roadmaps
- Encourage early adoption of tools and architecture across the organization
- Review solutions and projects to ensure they are consistent with standard methodologies in data and analytics
Primary Skills:
- Bachelor’s Degree in a related field (Computer Science, AI/ML).
- 2 to 4 years of IT and business/industry development experience
- Knowledge of data standards (security, ingestion, warehousing, storage)
- Validated knowledge of successful design, architecture and development using AWS Cloud technologies.
- Experience with AWS product categories like Analytics, Application Integration, Compute, Database, Serverless.
- Experience with Snowflake
- Experience with AI/ML
- Collaborate with Agile teams to recommend the right architectures with high quality and software standard methodologies
- Strong communication skills.
Nice to have:
- Experience with One or more data Integration Technologies (Matillion, Pentaho, Datastage, etc.).
- API’s, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related tech
- Expertise in R, Python and predictive analytics.
- Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking.
- DevOps/DevSecOps: Chef, Puppet, Jenkins, Packer, Git, GitHub
