Cloud Data Architect – Charlotte, NC Position Available In Mecklenburg, North Carolina

Cloud Data Architect – Charlotte, NC
DTS is looking for Cloud Data Architect for our direct client Position in

Charlotte, NC 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 client’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

Mandatory Skills:

AWS Data Engineer, Snowflake Data Engineer

Desired 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. Expertise in R, Python and predictive analytics
DTS offers excellent compensation package.

Contact:

Ajay Bharbutta
Team Lead Digital Technology Solutions
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

10122283

Position Id:

8614739