Azure Data Architect

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.