Azure Data Migration Architect
Apply NowCompany: Cloud BC Labs
Location: Atlanta, GA 30349
Description:
Position : Azure Data Migration Architect
Location : Atlanta, GA (Candidate must work from Client office in Atlanta)
Term : C2C & W2 Role
Visa : Only USC, GC & H1B
Exp : 10+ Years
Job Description :
Role & Responsibility :
Key Skills :
Location : Atlanta, GA (Candidate must work from Client office in Atlanta)
Term : C2C & W2 Role
Visa : Only USC, GC & H1B
Exp : 10+ Years
Job Description :
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.