
Data Infrastructure Architect
1 day ago
The role involves designing, building and maintaining robust data systems. This requires cross-functional collaboration and adherence to highest standards of data quality and performance.
- Understand the company values and vision.
- Protect intellectual property and adhere to all policies and procedures.
Key Responsibilities:
- Design, develop and maintain scalable data pipelines for efficient data ingestion, processing and storage.
- Build and optimize data architectures and models for effective data storage and retrieval.
- Develop ETL processes to transform and load data from various sources into warehouses and lakes.
- Ensure data integrity, quality and security across all systems.
- Collaborate with data scientists, analysts and stakeholders to understand data requirements and deliver solutions that meet business needs.
- Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
- Document data processes, architectures and data flow diagrams.
- Implement and maintain data integration solutions using industry-standard tools and technologies.
Essential Skills:
- Expertise in data integration, processing and storage.
- Knowledge of data optimization architecture, data process and data flow.
- Proficiency in SQL and at least one programming language.
- Experience with cloud data platforms and their services.
- Experience with data visualization tools.
Personal Qualities:
- Excellent communication and interpersonal skills.
- Collaborative approach to present and advocate for quick design solutions.
- Proactive problem solving with a focus on delivering exceptional customer satisfaction.
Preferred Skills:
- Strong knowledge of data management, processing and architecture.
- Sound knowledge of data integration tools.
- Identify and resolve customer challenges with a focus on providing high-quality service and solutions.
Other Relevant Information:
- Bachelor's degree in computer science or related field.
- Minimum 4 years of experience in data engineering and architecture.
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