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Job Responsibilities: Define the Data cloud vision and strategy while providing information architectural guidance for clients migrating to AWS (primarily), Azure, or GCP.Assess functioning of overall technology and communications systems and end-to-end processes and look for ways to upgrade and optimize systems and processes in the future.Continuous review of existing information architecture and provide recommendations for enhancements, changes, and additions while acting as the information architectural liaison and technical SME to help internal organizations build cloud into their products and services.Stay up to date with the latest design patterns, programming practices, cloud trends, and general changes in technology to provide guidance on how these affect our business while ensuring team knowledge and experience with AWS services remains current.Work with Business, Architects, and System Analysts to fully understand the business requirements and translate them into Conceptual, Logical, and Physical models while promoting data modeling standardization, defining and driving adoption of the standards.
Maintain, publish, and promote usage of data dictionary and metadata about data models.Required Qualifications, Capabilities, and Skills: AWS experience must include IAM, Lambda, GuardDuty, CloudTrail, VPC networking (DX, Transit Gateway, VPN, Peering), KMS, AWS Role/Policies, AWS Resource/Session manager CloudWatch, CloudTrail and other cloud-related services, knowledge must include networking, encryption, identity and access management, and automation.AWS Certified Solution Architect and/or AWS Certified Specialist preferred with hands-on experience capable of creating proof-of-concepts in AWS using Terraform or CloudFormation and writing software in one or more languages: Java, Python, and Go.Complete understanding of industry-wide technology strategies and best practices with a keen understanding of financial control and budget management.Effective written and verbal communication skills and facilitation experience with business stakeholders to understand organization data needs and capture data requirements and implement Data Modeling while gathering and publishing Data Dictionaries: Create and Maintain data models in ERwin.
Capture data models from existing databases and record descriptive information into Erwin.Identify business needs, organize and define data, create and maintain Conceptual, Logical, and Physical data models; Maintain appropriate Version Control on data models working closely with the App Dev team and DBA to create an appropriate Conceptual, Logical, and Physical Data Model.Preferred Qualifications, Capabilities, and Skills: Amazon RDS, ECS/Fargate, Amazon Redshift, Redshift Spectrum, Athena, Apache Hive metastore, AWS Lambda, EC2, Ingress/Egress, AWS KMS, AI/ML processing including tools like Airflow, Sagemaker, Glue, and EMR.Capture data requirements and implement Data Modeling publishing Data Dictionaries, create and maintain data models in Erwin, capture data models from existing data stores, and record descriptive information into Erwin and/or Excel.Advanced English communication skills.
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