JR Snowflake Data Architect
Snowflake Data Architect (Junior) with AI/ML, AWS and banking domain industry (mandatory), integration and agile.
Expertise in R, Python and predictive analytics
Onsite in Charlotte - Hybrid model - onsite 4 days a week. Data Architect II – 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.
•
• Provide location and interview availability.
•
• 3 interviews: 2 – 2 panel interviews and a final interview with EM – at least one of the interviews will be onsite in Charlotte.
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 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
Skill/Experience/Education
Mandatory Skills
AWS Data Engineer, Snowflake Data Engineer
Desired Skills
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
Snowflake Data Architect (Junior) with AI/ML, AWS and banking domain industry (mandatory), integration and agile.
Expertise in R, Python and predictive analytics
Onsite in Charlotte - Hybrid model - onsite 4 days a week. Data Architect II – 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.
•
• Provide location and interview availability.
•
• 3 interviews: 2 – 2 panel interviews and a final interview with EM – at least one of the interviews will be onsite in Charlotte.
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 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
Skill/Experience/Education
Mandatory Skills
AWS Data Engineer, Snowflake Data Engineer
Desired Skills
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
