Cloud Data Engineer/Architect

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timePosted 3 days ago location United States salarySalary undisclosed
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Job Description

Responsibilities Serve as Companyrsquos Primary Data and Integration Architect DesignArchitect ImplementDeploy scalable and fault-tolerant enterprise solutions for data platforms, integration and analytics Integrate data between SaaS systems via an iPaaS (Informatica) Maintain map of all data systems and the data within those systems Serve as primary ldquogo-tordquo expert on our data systems and integration architecture Identify opportunities to, develop, and implement data-driven business optimizations (e.g., automated tasks, triggered alerts, error-checking) Implement data-focused systems, process, and resources Experience with web services (SOAP REST) Establish data governance strategy including Develop and implement approaches, policies, and standards to ensure data quality and integrity is maintained and that any inaccurate data is uncovered and corrected Develop and implement security standards for data storage and transport Administer and Enable Full Use of Various Data Technology Platforms Data Warehouse - DBA for MS Azure SQL DB MS Azure Synapse (SQL Data Warehouse) BI - Self-service business intelligence analytics platform (PowerBI) iPaaS ndash integrate data across business systems to facilitate workflows (Informatica) System-agnostic Digital Process Automation Platform Azure Data Factory and ETL Various other data systems Qualifications Bachelorrsquos degree and 5 to 10 years of relevant work experience, ideally with highly relevant data administration experience Cloud Data Engineering background strongly preferred including experience with web services (SOAP REST) Expert SQL skills Strong working knowledge of Informatica, PowerBI, and Azure Data Factory and ETL ndash or comparable systems in each of these 3 categories Experience with digital process automation andor robotic process automation Very strong data analytic capabilities including experience with data collection, manipulation, cleaning, analysis, ETL, and visualization. Strong data Modeling skills (conceptual, logical, physical) Exceptional Excel skills including high level of expertise at pivot tables and various Excel functions used for data manipulation, cleaning, parsing, etc. Must have strong ability to quickly master and become expert in new data solutions Academic, extracurricular, andor work record of tackling ambitious goals successfully Excellent organization skills, time management and problem-solving skills the ability to juggle many tasks at the same time strong attention to detail Strong communication and interpersonal skills over the phone, in person, and via video conference Ability to assess needs related to the job function and create new processes, documents, structures, and systems accordingly Experience working with multidisciplinary teams and diverse groups Independent worker, self-starter Intellectual curiosity, along with a competitive spirit and friendly, likable personality Last but not least, a strong interest in impacting the future of behavioral health in the U.S.