Data ArchitectNumentica LLC • Palo Alto, CA, US
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Data Architect
Numentica LLC • Palo Alto, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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 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.
Job Description
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.
- 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
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