JD:
We are seeking an experienced Azure Data Architect who will lead the establishment or and migration to the company’s data lake in the cloud, and help our business partners derive significant value from our data assets. The Azure Data Architect will partner closely with fellow team members on the architecture team including cloud infrastructure, application and security architects to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects that will leverage Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will also focus on Data processing capabilities and helping our business partners to remove the constraints that prevent them from leveraging their data to develop business insights.
Primary Duties
Develop an overarching enterprise and multi-cloud data strategy
Plan and oversee the migration of our on-prem data warehouse to the cloud, insuring best practices around cloud native design and security are implemented.
Design a partner-friendly data integration ecosystem in the cloud.
Lead data integration initiatives with partners and providers.
Enable new analytics capabilities by selecting and implementing the best tools, practices and patterns.
Review proposed data models contained in packaged, custom developed and commercially available applications
Establish metrics for tracking and measuring the value of data architecture initiatives
Provide leadership to enable new capabilities for Business Intelligence, and mentor data team members.
Skills/Requirements
8+ years of experience of IT platform implementation in a highly technical and analytical role.
Strong (expert level) experience with Azure Data platform.
Extensive 5+ years of experience in providing data architecture solutions for Azure Cloud applications
Experience building data pipelines on Azure
3+ years’ experience of Data Lake implementation.
Highly experienced across all phases of data modeling efforts
Experienced with data warehousing, data governance, data pipelines and other analytical techniques required for large data usage
Demonstrates a deep understanding of multiple database and data mapping concepts
Experienced knowledge of complex data structures and the ability enhance the data to be integrated across the enterprise.
Understands the concepts and application of data mapping, data quality, and data architecture
Demonstrates clear use and knowledge of data visualization tools such as Microsoft Power BI, Azure Adv. Analytics Architecture
Experienced knowledge of various data structures and the ability to manipulate data within visualization tools
Ability to manipulate raw data into effective visualization dashboards
Ability to communicate end to end data outcomes to all levels of the team hierarchy
Understanding of data models, large datasets, business/technical requirements, BI tools, data warehousing, statistical programming languages and libraries