Data Architect

We are looking for Data Architect/ Senior Data Engineer to join our team.

Responsibilities:

 Design and drive end to end data and analytics solution architecture from concepttodelivery Design, develop, and support conceptual/logical/physical data models for analyticssolutions. Ensures that industry-accepted data architecture principles,standards, guidelines andconcepts are integrated with those of allied disciplines and coordinated roll-out andadoption strategies are in place. Drive the design,sizing,setup, etc. of Azure environments and related services Provide mentoring on data architecture design and requirementsto development andbusiness teams Reviews the solution requirements and architecture to ensure selection of appropriatetechnology, efficient use ofresources and integration of multiple systems and technology. Advising on new technology trends and possible adoption to maintain competitiveadvantage Participate in pre-sales activities and publish thoughtleaderships Work closely with the founders to drive the technology strategy for the organization Help and lead technology team recruitmentsin various areas of data analytics

Experience Needed:

 8+ years of experience. Demonstrated experience delivering multiple data solutions Demonstrated experience with ETL development both on-premises and in the cloud usingSSIS, Data Factory, and related Microsoft and other ETL technologies. Demonstrated in depth skills with SQL Server, Azure Synapse, Azure Databricks, HD Insights,Azure Data Lake with the ability to configure and administrate all aspects of SQL Server. Demonstrated experience with different data models like normalized, de- normalized, stars,and snowflake models. Worked with transactional, temporal, timeseries, and structuredand unstructured data. Data Quality Management (Microsoft DQS and other data quality and governance tools) andData 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 (ExpressRoute), Active Directory, Storage (Blob, etc.), Windows/Linux). Advanced study / knowledge in the field of computer science or software engineering alongwith advanced knowledge of software development and methodologies (Microsoftdevelopment lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI). Is familiar with the principles and practices involved in development and maintenance ofsoftware solutions and architectures and in-service delivery (Microsoft and Azure DevOps.Azure Automation). Has strong technical background and remains evergreen with technology and industrydevelopments Hands-on expertise and willingness to code in Spark, Python, SQL, ability to pick up newlanguages and tech on the go.Powered by JazzHRhRvq9qSIEa