- Tactical Microsoft Azure cloud platform knowledge with integrated tool sets, processing, and disaster recovery to evaluate/negotiate associated pricing to ensure ideal performance and fiscally responsible solutions.
- Extensive knowledge of Azure API Management, Azure functions, Logic Apps, Virtual Machines, Networking, and other Azure Functionalities
- Day to Day and Strategic Administration of Snowflake Platform
- Demonstrates competency with disparate health care data sources for ingestion, metadata, mappings, ontology management, data catalog management, reference data, rules/hierarchies, and normalization.
- Understanding of health IT Data Services technologies and terminologies such as, but not limited to HL7, C-CDA, EDI, FHIR, CDC, ODBC, RDMS, row versioning and data replication use cases for the betterment of the enterprise.
- Applies concepts to enable artificial intelligence (AI) and machine learning (ML) algorithm development, natural Language Processing (NLP) and patient portal of portals for data enrichment.
- Develops technical standards to help provide resolution of complex system problems.
- 3+ Years Experience with Snowflake
- 5+ years of experience in solutions architecture, with at least 5 years in cloud architecture.
- in leading cloud platforms such as Azure or AWS. Strong understanding of containerization technologies, such as Docker and Kubernetes.
- familiarity with DevOps practices and modern CI/CD pipelines, including automation, configuration management, and infrastructure as code within cloud environments.
- software development experience, particularly with Python, PySpark, Java, .Net, and modern JavaScript frameworks like
- written, verbal, and presentation skills, suitable for both technical and non-technical audiences. Strong organizational and leadership skills, with the capacity to manage competing demands, multiple priorities, commitments, and projects.
- experience in big data, database and enterprise data warehouse architecture and delivery
- 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.
- experience implementing data processing tools using Microsoft services (e.g. Data bricks, Python, etc.), metadata management.
- Bachelor's degree in business analytics, computer science, engineering, accounting, finance, management information systems or another related field. In lieu of degree, 15+ years of experience is required or the equivalent combination for education and 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.
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Cloud Architect - Florida, United States - Mastech Digital
Description
*Cloud Solution Engineer*
Under the direction of the Director Enterprise Data Warehouse and Business Intelligence, the
Cloud Solutions Engineer (CSE) will be transformational in bringing Data as a Service (Daas), data analytics and self-service.
PRIMARY TASKS AND RESPONSIBILITIES:
EXPERIENCE:
EDUCATION/CERTIFICATIONS & LICENSES:
Thank You