Job Description :

Summary of Position:

  • Client is looking Azure Data Architects to focus on creating the infrastructure, process, and procedures to create “data lakes” in the cloud for large amounts of COVID-19 data.
  • This data will be made available to analysts across DOHMH to consume and process in analytic platforms such as R, Python, SAS and visualize them in tools like Tableau, Power BI, Data Wrapper.
  • In addition, the COVID-19 data can be processed with machine learning algorithms to help make more informed decisions in response to COVID-19and future pandemics.

Specifically, the Azure Data Architect will:

  • Process COVID-19 related data requests following applicable procedures and document changes in an electronic repository.
  • Understand DOHMH disease surveillance portfolio, determine business priorities and success measures to design implementation architectures and solutions.
  • Apply technical knowledge to architect solutions that meet business needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g., Azure ML, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake, Azure Databricks, etc.).
  • Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability, and reliability upon deployment
  • Develop deep relationships with key customer IT decision makers, who drive long-term cloud adoption within their company to enable them to be cloud advocates.
  • Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.

Qualifications and Requirements:

  • Minimum 3 years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications, client service delivery experience on Azure.
  • Minimum 3 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, and data warehouse solutions.

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