Our client is seeking a Cloud Solutions Engineer to assist with the migration from AWS to Microsoft Azure and Snowflake. This candidate will be will assist the Informatics team to facilitate the transformation of source data into a 'trusted data' asset within Microsoft Azure platform that can be used for downstream consumption. The candidate must be passionate to deliver healthcare insights to change the standard of care delivered to patients. This person will be responsible for delivering the next generation Enterprise Data Warehouse and visualizations using Microsoft Data Lake technologies in scalable consideration of proprietary, open source and microservices solutions. They will work with informatics leadership, Enterprise Architecture, Clinical Data Architect and Sr. Data Integration Analyst to determine appropriate data technology integration and utilization. They will use architecture knowledge to help Informatics team to conduct vendor evaluations and to be discipled in strategic and tactical technology utilization. This role will define data and application integration framework with the focus towards standardization, definition and documentation of standards and guidelines. They will also use knowledge of healthcare data requirements to influence the implementation and governance of our data architecture. Healthcare interoperability appreciation is paramount to this role to help the Informatics team understand use cases, functional- and non-functional requirements, and abide by data governance best practice principles.
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- Bachelor's degree in business analytics, computer science or another related field OR 5+ years of related experience
- Microsoft Azure certification(s) in at least one of the following Fundamentals, Administrator, AI Engineer or Data Scientist with expert level certification(s) preferred in Solutions Architect and/or Architect Design.
- Experience with the following cloud technologies: AWS, AZURE and Snowflake
- 5+ years of experience in big data, database and enterprise data warehouse architecture and delivery
- 5+ years in an active healthcare big-data integration experience with multiple heterogenous data sources with data cleansing and reference/master data management on an enterprise data warehouse to create a centralized 'trusted data' set for data analysis.
- Hands-on experience implementing data processing tools using Microsoft services (e.g. Data bricks, Python, etc.), metadata management
- Technical competencies within data modeler (e.g. ER Studio), SQL to create/maintain DB objects, query/load required data using data governance (e.g. business glossary, data dictionary, data catalog, data quality, master data management, etc.) and visualization tools to bring data literacy to the organization.
- Practical experience on workload management, monitoring, performance tuning, troubleshooting database issues, parallel data loading, database migration, fragmentation and maintenance tasks
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.