Job description

Job Details Job Title: Cloud Architect (Data Lake/Data Bricks) SME Location: Raleigh, NC / Hybrid (4 Days Onsite/1 Day Remote) Duration: Long Term Description: Our Client is seeking a resource well skilled in Cloud architecture to support the following technologies: Delta Lake storage Big Data and Machine Learning analytics (e.g., Apache Spark) to help meet organization priorities. As a technical expert, provides advice and assistance in state-of-the-art software/hardware solutions involving hardware of various capacities, multiple operating environments, database management systems, specialized software, data communications facilities and protocols including Value Added Networks, fourth generation technologies, and complex software tools or packages. As a business expert, works with senior client officials to identify enterprise improvement goals, assess organizational and process effectiveness, and implement change strategies. Roles and Responsibilities include but not limited to: Minimum 15 year s IT Architecture/Systems experience 10 years experience designing technical and business solutions, mentoring and training client staff, and overseeing implementation Highly diverse technical and industry experience related to systems needs, development, process analysis, design, and reengineering Possesses skills and experience related to business management, systems engineering, operations research, and management engineering Assist with deployment, configuration, and management of Azure Cloud environment Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment Assist ETL staff with Cloud best practices, efficiency optimization, and knowledge sharing Assist with Operationalizing deployments and Cloud services for ETL Operations, including automation, documentation, and knowledge articles Provide written and oral presentation to high-level client s CIO management on status of efforts Basic Qualifications: Strong skills and experience in Cloud Operations support in Azure Strong experience supporting large-scale/enterprise level Cloud environments Strong experience supporting cloud services (compute, network, databases, etc.) Experience using Databricks or other Spark-based platforms Knowledge/experience with Sqoop, Oozie, Flume Fluency in scripting languages: Python, Perl, Ruby (or equivalent) Ability to troubleshoot cloud resource problems and perform complex system tests Ability to automate solutions to repetitive problems/tasks Experience with Git integration in continuous deployment Experience with DevOps monitoring tools Knowledge of best practices and IT operations in always-up/always-available environments Documentation skills for internal procedures and services Strong communication skills with team members Significant experience with: SAS Python C++ Hadoop SQL (Database/Coding) Apache Spark Machine Learning Natural Language Processing Visualization tools (Tableau) Demonstrated experience with unstructured data Creative thinking and detail orientation Desired Skills: Strong understanding of cloud networking at scale Ability to break down complex networking concepts and present concisely Shell scripting experience PowerShell Data Transfer Requirements: The selected resource will conduct knowledge-transfer sessions covering: Monitoring (Infrastructure and Application-specific) Troubleshooting Incident Alerting and Avoidance Dashboard Development Settings and Configuration Security Testing of platform/applications Preparing audit compliance reports Reporting: Monthly status reports must include: Work progress Identified risks/technical issues with recommendations and contingency plans Schedule deviations with proposed recovery plans Education: Master s Degree from an accredited College/University in the applicable field of services We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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