AWS Data Architect with Telecom

Job Description

• All of the above from skills standpoint (from requirement)
• Has experience working on similar project in the past who can lead effectively and work with client team
• Can assist customer with the implementation of AWS monitoring dashboards in Customer's non-production environment
• Can assist customer with the implementation of insights on data ingestion process uptime and alerting based on conditions identified by Customer in Customer's non-production environment
• Can assist customer in the creation of a proposed high level implementation plan for future phases, including mutually agreed user dashboards
• Has experience in Data Governance
• 8 to 10 years of experience with information technology programs and services, with demonstrated expertise in enterprise data management and related technologies.
• 5 or 7 years of Experience with Erwin or a comparable data modeling tool.
• Experience with enterprise data management technologies, including database platforms, ETL tools, and SQL.
• Experience in implementing Data Catalog, Data metadata , lineage and data management solutions
• Experience with Service Oriented Architecture (SOA), web services, enterprise data management.
• Information security, applications development and cloud-based architectures and NoSQL DB Modelling experience
• Experience in working in a cloud data lake deployment is an added advantage
• Overseeing enterprise data governance program development.
• Architecting the solution and framework.
• Facilitating data governance organization, tactical and operational stewards, and the data governance team
• Developing and delivering data governance program for Wireless team
• Providing quality assurance – oversight, monitor, report results to governance council.
• Establishing, maintaining, and periodically reviewing and recommending changes to data governance policies, standards, guidelines, and procedures.
• Assisting in defining data quality metrics for periodic release.
• Supporting data quality issue analysis and remediation for "strategic” data.
• Conducting audits to ensure that policies, procedures and metrics are in place for maintaining/improving the program