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Data Architect
2 weeks ago
We are seeking a highly skilled data professional to design, build, and maintain the infrastructure required to manage and process large volumes of data. The ideal candidate will work closely with cross-functional teams to ensure efficient data flow, security, and availability, enabling analytics, reporting, and AI-driven decision-making.
Key Responsibilities:- Data Pipeline Development:
- Design and implement robust ETL/ELT pipelines for data ingestion, transformation, and storage.
- Optimize data workflows to ensure scalability and performance.
- Data Integration and Storage:
- Integrate data from multiple sources into centralized data platforms.
- Design and maintain databases, data lakes, and warehouses for structured and unstructured data.
- Data Governance and Quality:
- Ensure data accuracy, consistency, and completeness through monitoring and validation.
- Implement data security and compliance measures in line with industry regulations.
- Collaboration and Support:
- Work with data analysts, AI engineers, and other stakeholders to define data requirements.
- Provide technical support for analytics and reporting tools.
- Continuous Improvement:
- Evaluate and adopt new technologies for improving data architecture and performance.
- Document processes and maintain up-to-date technical guides.
The ideal candidate should have a bachelor's or master's degree in computer science, data science, or a related field, along with proven experience in building and managing data pipelines and architectures. Strong knowledge of databases, data modeling, and schema design is also essential, as well as proficiency in data processing tools and frameworks like Apache Spark and Hadoop. Experience with cloud platforms like AWS, Azure, or Google Cloud is also desirable.