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 clients Platform and technologies.Work with Business and delivery partners to understand future requirements and implications for architectureIdentify architecture solution alternatives, driving business requirements, and availability of new technologiesIdentify new technologies and tools to support architecture(s) and determine architectural roadmapsEncourage early adoption of tools and architecture across the organizationReview solutions and projects to ensure they are consistent with standard methodologies in data and analyticsPrimary Skills: Bachelors Degree in a related field (Computer Science, AI/ML).2 to 4 years of IT and business/industry development experienceKnowledge 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 SnowflakeExperience with AI/MLCollaborate with Agile teams to recommend the right architectures with high quality and software standard methodologiesStrong communication skills.Nice to have: Experience with One or more data Integration Technologies (Matillion, Pentaho, Datastage, etc.).APIs, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related techExpertise in R, Python and predictive analytics.Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking.DevOps/DevSecOps: Chef, Puppet, Jenkins, Packer, Git, GitHubMandatory Skills: AWS Data Engineer, Snowflake Data EngineerDesired Skills: Bachelors 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 analyticsDTS offers excellent compensation package. Contact:Ajay BharbuttaTeam Lead Digital Technology Solutions Required
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