Azure Data Architect - Data Lake/ Data Bricks

Job Title: Azure Data Architect - Data Lake/ Data Bricks SME Location: Raleigh, NC / Hybrid (4 days onsite/1 remote) Duration: Long-term (24+ Months) Roles and Responsibilities include but not limited to: Minimum 15 years 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 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 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