What are the responsibilities and job description for the Enterprise Architect position at ScrumLink, Inc.?
Enterprise Architect
Duration : 12 Months
Location: Charlotte
Job Description:
AI/ML knowledge
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.
Detailed JD:
Bachelor’s Degree in a related field (Computer Science, AI/ML).
8 to 10 years of IT and business/industry development experience
2 to 4 years of AI/ML knowledge (not a data scientist but knowledge on AI/ML capabilities, patterns and integrations)
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
Mandatory Skills:
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. Strong communication and collaboration skills.
Desired Skills:
AI/ML knowledge (not a data scientist but knowledge on AI/ML capabilities, patterns and integrations) Experience with Snowflake