Data Architect Job in Aays
Job Summary
Design and drive end to end data and analytics solution architecture from concept to delivery Ensures that industry-accepted data architecture principles, standards, guidelines and concepts are integrated with those of allied disciplines and coordinated roll-out and adoption strategies are in place. Drive the design, sizing, setup, etc. of Azure environments and related services Provide mentoring on data architecture design and requirements to development and business teams Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Advising on new technology trends and possible adoption to maintain competitive advantage Participate in pre-sales activities and publish thought leaderships Work closely with the founders to drive the technology strategy for the organisation Help and lead technology team recruitments in various areas of data analytics We are interested in candidates who can demonstrate some of the following skills & experience: Essential Personal Traits: You should be able to work independently and communicate effectively with remote teams. You should have prior experience of Client Management. Timely communication/escalation of issues/dependencies to higher management. Curiosity to learn and apply emerging technologies to solve business problems Experience Needed: Demonstrated experience delivering multiple data solutions Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies. Demonstrated in depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server. Demonstrated experience with different data models like normalised, de normalized, stars, and snowflake models. Worked with transactional, temporal, time series, and structured and unstructured data. Data Quality Management (Microsoft DQS and other data quality and governance tools) and Data Architecture standardization experience. Deep understanding of the operational dependencies of applications, networks, systems, security and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux). Advanced study / knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies (Microsoft development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI). Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery (Microsoft and Azure DevOps. Azure Automation). Has strong technical background and remains evergreen with technology and industry developments
Experience Required :
Minimum 7 Years
Vacancy :
2 - 4 Hires
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