Data Architect

Los Angeles, CA - USA

Monthly Salary: Not Disclosed

Experience Required: 10years

Posted on: 8 days ago

Vacancies: 1 Vacancy

Job Summary

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

10 years of related work experience.
At least 7 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 5 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
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 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.

Required Skills:

Scala GoLang REST AWS

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 ...