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- USA
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Title: Solution Architect (Cloud)
Location: Chicago IL
Duration: Long Term Contract
TECHNICAL QUALIFICATIONS:
6 years of experience within the field of application/platform engineering or related technical work including business intelligence analytics.
4 years of experience with AWS Senior Cloud Data Engineering management maintenance or architecting implementing best practices and industry standards.
Experience with data warehousing platforms such as Snowflake Redshift or similar.
Strong knowledge and established experience with AWS services including but not limited to: S3 EC2 RDS Lambda Cloud Formation Kinesis Data Pipelines EMR Step Functions VPC IAM and Security Groups.
Experience with DB technologies (e.g. SQL Python PostgreSQL AWS Aurora AWS RDS MongoDB Redis).
Experience with CI/CD tools pipelines and scripting for automation. (GitHub Actions Jenkins AWS Code Pipeline tools Cloud formation and Terraform).
High degree of knowledge in IAM Roles and Policies
Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability.
Strong scripting experience using PowerShell and/or Python.
High degree of knowledge in PaaS and SaaS application performance.
Understand enterprise level application architecture diagrams and IT security requirements.
ADDITIONAL QUALIFICATIONS:
Experience and comfort solving problems in an ambiguous environment where there is constant change
Have the tenacity to thrive in a dynamic and fastpaced environment inspire change and collaborate with a variety of individuals and organizational partners
Experience designing and building scalable and robust data pipelines to enable datadriven decisions for the business
Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
Rigorous attention to detail and accuracy.
Demonstrate d ability to troubleshoot technical problems and issues.
Passionate about programming and learning new technologies.
Experience planning and executing onpremises to AWS migrations
BA or BS degree Computer Engineering Computer Science or related fields.
Strong verbal and oral communication.
PREFERRED EXPERIENCE:
Experience with large scale enterprise streaming services such as Kafka.
Experience with Kubernetes and Docker containers or AWS Fargate.
Experience implementing applications with both Windows and Linux server OS
Experience with networking security groups or policy management in relation to Cloud resources across multiple operating systems including UNIX Linux or Windows
Advance CS degree.
Position Responsibilities
Deliverables
Design and build efficient and reliable data pipelines to move data across different data systems and enterprise Data Warehouse (Snowflake) Oracle and external partner systems through APIs AWS S3 buckets.
Be an expert in cloud data warehouse cloud ETL tools and capabilities to engineer solutions and automate large scale data flows from varying systems/sources.
Diligently work with data scientists other internal data groups and business partners to build data solutions which will support a variety of predictive and reporting applications.
Infrastructure Components Setup: Install infra components and thirdparty software onprem & establish connectivity with hosted apps for enterprise integrations and automation.
Strong understanding of real time data integration with tools like Snowpipe Kafka snowflake sink
Knowledge of oracle cloud
Experience deploying software components e.g. onprem software agents connecting and private links to cloud apps like Snowflake Kafka Jira.
Experience with integration tools like Snaplogic HVR Matillion etc
Continuous Integration/Continuous Deployment (CI/CD): Setup pipelines for automated deployment testing and integration of applications using tools like GitHub Gitlab Jenkins
Experience in hospitality industry would be a plus with experience on Sabre SynXis CRS
Knowledge of Iaac using Terraform CloudFormation etc.
Full Time