Azure Data Architect
2 months ago
**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.
- ** 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 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 non-technical audiences.
**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.
- 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 on-hands 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 cloud-based 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**:
Azure Data Architect
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