Peraton, an industry leader providing innovative solutions for space, critical Intelligence Community missions, and offensive and defensive cyber operations, is actively seeking a Senior Azure Cloud Data Engineer. Successful candidate will be a self-starter working as a part of a team that is responsible for Enterprise Business Intelligence data delivery. The position requires strong working knowledge of the Azure Data stack (Synapse, Azure Data Factory, ADLS), and Microsoftrsquos business intelligence software. Experience with relational database development (writing complex queries, creating stored procedures and converting SSIS and ETL into the Azure Data Synapse Platform. Must be able to perform business requirements gathering sessions and clearly communicate technical processes to non-technical business users of all levels within the enterprise. Responsibilities Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation. Strong hands on experience with Microsoft Azure Data Analytics PaaS Services, including Azure Synapse, Azure Data Factory, Azure Data Lake Storage, and other services within the Azure data stack framework. Works with Architects, Technical Leads and Business Teams and contributes to the development of technical designs Maintain data dictionary and data models. Lead secure data migrations transformations tofrom Peraton to our clients, customers and vendors Develops, constructs, tests and maintains Azure Data factory flowspipelines Develops code using programming language and tools. Python, C, PHP, Java, etc Strong knowledge of various data structures and the ability to extract data from various data sources (such as Cognos, Informatica, Hyperion, etc.). Expose data to end users for consumption such as Power BI or other data integration sources ensuring that the proper security permissions are in place. Provides technical database consultation on application development, global infrastructure, and other database administration efforts related to specific DBMS. Required Qualifications Bachelorrsquos Degree and 10+ years of work experience focused on Azure experience in lieu of degree will be considered Azure Data Engineer certification 10+ years of experience in writing complex SQL queries and creating data models. Proficient with data visualization tools such as Microsoft Power BI, ability to manipulate raw data into effective visualization dashboards. Proven experience performing large data migration and transformation efforts. Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows. Excellent organizational and workflow skills ability to work on simultaneous projects with diverse working groups Ability to work well independently and within a fast-paced, team-oriented environment Ability to follow standard processes and communicate effectively with the team regarding technical, progress and critical issues ship is required due to the nature of the work Desired Qualifications Application architecture experience. Migrated Schemas and Stored procedures from an on-Premise SQL to Synapse Migrate current ETL and SSIS packages to Synapse Expose data to end users using Power BI, Azure API Apps or other modern visualization platform or experience. Experience with mergers and acquisitions and data integration Experience with Azure DevOps and GIT integration Experience with machine learning models and applications Experience with the Azure.Gov cloud Strong written verbal communication skills.