Azure Data Architect

Combination of technical & soft skills.

• Data modeling integration design and data management: Data architects understand the concepts principles and implementation of data modeling design and data management. They can produce relevant data models and design the organizations data flow.
  
• Experience with Azure cloud solutions related to data acquisition transformation storage analysis and loading. This includes SQL application data as well as unstructured data (file attachments et al).
  
• Databases and operating systems: experienced in various SQL database languages (TSQL Databricks PL/SQL MySQL). Understands the advantages and drawbacks of each and how they can be set up effectively and securely across different data platforms and environments (development and production).
  
• Data architecture: Recommend best practices on data architecture for enterprise data warehouse development. Possesses a solid understanding of the organizations data infrastructure and how different systems interact.
  
• Data security and governance: Rapidly gather and understand organizational standards policies processes roles and metrics that ensure the effective and efficient use of data/information. Skilled in data management and governance strategies with a good understanding of the risks and mitigations of each. Ensure data governance is in line with the overall organizational strategy.
  
• Communication and leadership: communicate clear technical solutions to complex data problems to both technical and nontechnical audiences.
  

• Designing developing implementing and translating business requirements and the overall organizational data strategy including standards principles data sources storage pipelines data flow and data security policies.
  
• Design and implement infrastructure components (Clusters VMs SQL Server Vnet Integrations) to support data migration deliverables on time and on budget.
  
• Collaborating with data engineers data scientists and other stakeholders to execute the data strategy.
  
• Communicating and defining data architecture patterns in the organization that guide the data framework.
  
• Support/lead data teams to develop secure scalable highperformance and reliable systems to support data migration data cleansing and reporting.
  
• Other activities to support data migration/data cleansing as needed by the project team.
  
• Transactional and Analytical Data Modeling expertise.
  
• Strong Data Governance and Data Quality principles and experience with incorporating best data quality practices in data pipelines.
  
• Progressive career with onhands on Data Engineering experience.
  

Required Qualifications

• 7 years of related work experience
  
• At least 5 years of experience as a cloud solutions architect or equivalent in the area of data solutions designing cloudbased data architectures data modeling data warehousing/data lake solutions and data migration scenarios including both hybrid and pure cloud data solutions.
  
• At least 3 years of hands on experience with any of the following Azure data services: Azure Synapse Azure SQL Database Azure Cosmos DB Azure Data Lake Azure Data Factory and Azure Databricks or related
  

Requirements