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Software Solutions Architect - DevSecOps/OpenShift (Kubernetes) Engineer - (Hybrid Work)

In United States

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Software Solutions Architect - DevSecOps/OpenShift (Kubernetes) Engineer - (Hybrid Work)   

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JOB TITLE:

Software Solutions Architect - DevSecOps/OpenShift (Kubernetes) Engineer - (Hybrid Work)

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Lansing, MI United States

JOB DESCRIPTION:

Client: TechM//CRST Role: Data Architect Location: Cedar Rapids (Remote/On-site. On-site is high priority) Duration: Contract Rate: $80 to 90/hr   As a trusted technical advisor, you will provide thought leadership and design a modern data platform architecture that supports data ingestion/integration, data privacy, data quality and data governance for our clients in the logistics industry. You will be responsible for development of an enterprise data strategy and possess a strong technical acumen and working knowledge of methodologies, processes and best practices on cloud data architectures, data science platforms, event-driven architectures, and API-enabled data services.   Responsibilities:  Review current environment for existing data challenges, on-prem data infrastructure and flow, and application architecture. Lead the development of an enterprise data strategy; and design and implement cloud data architectures. Assist with tool and technology selection that meets the requirement Define the implementation roadmap and support with any infrastructure planning Design and develop an ingestion framework that supports real-time streaming and/or batch. Develop technical design documents, validate test scripts and cases, coordinate the implementation of the same into production and related support activities Requirements  Deep technical passion for all things data Bachelor's degree in Computer Science, Information Technology or relevant work experience. Minimum 10-12 years of relevant hands-on experience in Enterprise Data Management and cloud technologies Strong working knowledge of ETL, BI and Data warehousing tools and technologies Strong experience with data systems and infrastructure on Azure and/or AWS Solid knowledge and implementation experience with data Integration techniques Good understanding of Stream Processing architecture Familiarity leveraging visualization tools to present information in a way that drives fact-based decision making (such as Power BI) Perform data analysis to support strategic initiatives and clearly communicate and present insights to leadership. Coordinate with cross-functional team for requirements, improvements and enhancements that support various data and analytics needs  Unafraid to try new technologies, arbitrate complex technical discussions, and make challenging decisions. Great written and verbal communication skills, including ability to present ideas to both technical and business audiences. A self-starter who can thrive in ambiguity and builds trusted relationships. Has a "can do" attitude and entrepreneurial resourcefulness in getting things done in a fast-paced environment.

Position Details

POSTED:

Jan 17, 2023

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16576416318751077

LOCATION:

United States

CITY:

Lansing, MI

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Software Solutions Architect - DevSecOps/OpenShift (Kubernetes) Engineer - (Hybrid Work)    Apply

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Client: TechM//CRST Role: Data Architect Location: Cedar Rapids (Remote/On-site. On-site is high priority) Duration: Contract Rate: $80 to 90/hr   As a trusted technical advisor, you will provide thought leadership and design a modern data platform architecture that supports data ingestion/integration, data privacy, data quality and data governance for our clients in the logistics industry. You will be responsible for development of an enterprise data strategy and possess a strong technical acumen and working knowledge of methodologies, processes and best practices on cloud data architectures, data science platforms, event-driven architectures, and API-enabled data services.   Responsibilities:  Review current environment for existing data challenges, on-prem data infrastructure and flow, and application architecture. Lead the development of an enterprise data strategy; and design and implement cloud data architectures. Assist with tool and technology selection that meets the requirement Define the implementation roadmap and support with any infrastructure planning Design and develop an ingestion framework that supports real-time streaming and/or batch. Develop technical design documents, validate test scripts and cases, coordinate the implementation of the same into production and related support activities Requirements  Deep technical passion for all things data Bachelor's degree in Computer Science, Information Technology or relevant work experience. Minimum 10-12 years of relevant hands-on experience in Enterprise Data Management and cloud technologies Strong working knowledge of ETL, BI and Data warehousing tools and technologies Strong experience with data systems and infrastructure on Azure and/or AWS Solid knowledge and implementation experience with data Integration techniques Good understanding of Stream Processing architecture Familiarity leveraging visualization tools to present information in a way that drives fact-based decision making (such as Power BI) Perform data analysis to support strategic initiatives and clearly communicate and present insights to leadership. Coordinate with cross-functional team for requirements, improvements and enhancements that support various data and analytics needs  Unafraid to try new technologies, arbitrate complex technical discussions, and make challenging decisions. Great written and verbal communication skills, including ability to present ideas to both technical and business audiences. A self-starter who can thrive in ambiguity and builds trusted relationships. Has a "can do" attitude and entrepreneurial resourcefulness in getting things done in a fast-paced environment.


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