Data Architect
4 weeks ago
Data Strategy and Architecture:
We are seeking a skilled Data Architect to develop and implement data strategies that drive business growth and inform decision-making across the organization. The ideal candidate will have a deep understanding of data architecture and be able to design and implement scalable, reliable, and high-performance data systems.
Data Pipeline Development:
The successful candidate will collaborate with cross-functional teams to develop and maintain data pipelines that support analytics and reporting needs. This includes working with third-party developers to implement best practices for data ingestion, transformation, and integration.
Data Quality and Governance:
The Data Architect will establish and enforce data quality standards and governance processes to ensure accuracy, consistency, and reliability of data. This includes collaborating with stakeholders to address data quality issues and continuously improve data management practices.
Performance Optimization:
The ideal candidate will monitor and optimize the performance of data systems to ensure efficient processing and timely delivery of data to end-users. This includes troubleshooting and resolving performance issues.
Technology Stack Management:
The Data Architect will stay abreast of emerging technologies and trends in the data engineering space and evaluate, select, and recommend appropriate tools and technologies to enhance the organization's data engineering ecosystem.
Collaboration and Communication:
The successful candidate will work closely with cross-functional teams to understand data requirements and deliver effective solutions. This includes communicating technical concepts and solutions to non-technical stakeholders in a clear and understandable manner.
Requirements:
Qualifications:
Advanced degree in Applied Maths, Statistics, Engineering, or equivalent. 5 years of experience with SQL and NoSQL databases. 5 years of experience in software development. Exceptional problem-solving and critical thinking skills. Good communication skills and ability to present technical concepts and results to non-technical teams. Strong English communication skills. Preferred technical skills: Python, .NET, SQL Server, AWS, React, Alteryx, Excel.
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