Azure Data Architect

Location: Atlanta, GA

Type: Long-Term-Contract

Additional Info : Client is looking for candidate having some experience in reporting side and especially in Power BI.

Role & Responsibility:

• 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, high-performance, 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

Key Skills (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 organization’s 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 (T-SQL, 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 organization’s 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 non-technical audiences.