Azure Cloud Data Architect
Location
Indore | India
Job description
Remote
Full Time The Lead Azure Data Architect will be required to analyze an array of product offerings and business requirements within the organization. You will work with the product development teams (e.g. engineering, product managers and analysts) to evaluate and identify solutions that meet the needs of the business, utilizing industry standard best practices and creative design techniques to overcome complex business and technical challenges (e.g. maximum performance with complex data sets). Some additional responsibilities include but are not limited to:
- Analyze existing data design and suggest improvements that promote performance, stability and interoperability.
- Work with development teams in migrating on-premise database to various Azure data stores
- Determine how the enterprise's data will be stored and utilized to best provide actionable data to the end user.
- Work with product management and business subject matter experts to translate business requirements into good database design.
- Work with internal and external resources to develop robust Extract/Transform/Load (ETL) processes for disparate data sources
- Monitor performance and security
- Ensure backups occur in a timely manner
- Work to ensure the quality of the data.
- Provide database architecture leadership and mentor projects consisting of TW employees and outside contractors
- Maintain the governance model on the database architecture through training, design reviews, code reviews, and progress reviews.
- Participate in the development of Database Architecture and Roadmaps in support of business strategies
- Establish and maintain database architecture standards and best practices
- Participate in the evaluation of emerging technology and tools
- Provide technical expertise, estimates, and recommendations to the Application Development Leader and/or Project Management.
- Communicate risks and issues to the Application Development Lead and/or Project Manager
The Requirements
- Bachelor's degree in math, computer science, engineering, finance, statistics, or relevant field
- 7+ years of experience working on solutions that collect, process, store and analyze large volumes of business-critical data.
- 2+ years of experience with implementation and support of cloud services including but not limited to:
- Azure Data Factory
- Azure Data Lake Store
- Azure Data Lake Analytics
- Azure Storage
- Azure Cosmos DB
- Azure SQL, Azure DW and Azure Analytics Services
- 3+ years of experience developing both multidimensional and tabular models with large and complex datasets
- Strong proficiency in relational database management systems (MS SQL Server) and NoSQL databases
- Strong proficiency in Excel, Power BI, SSIS, PowerShell scripting
- Experience with cloud and hybrid-cloud implementations including IaaS, PaaS and SaaS
- Experience with Continuous Integration and Continuous Delivery /Azure DevOps/VSTS/Git Branching
Preferred Qualifications - Azure Cloud Platform Certifications are a plus
- Understanding of Agile software development and Scrum methodologies
- Machine Learning and statistical modeling preferred
- Knowledge of operating systems and server platforms in the MS technology stack
- Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments
- Test Automation
- Containerization and orchestration tools such as Docker or Kubernetes
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