
Data Architect
2 days ago
We are seeking a seasoned data expert to lead the design, development and maintenance of scalable and secure data pipelines and architectures.
This role requires collaboration with cross-functional teams to understand data needs and translate them into robust data engineering solutions.
The ideal candidate should have a strong background in building and managing data pipelines and architectures, hands-on experience with cloud-based data platforms (AWS preferred or Azure, or GCP), proficiency in data pipeline tools (e.g. Apache Airflow, Kafka, Spark), strong SQL skills and experience with relational and NoSQL databases.
A Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, along with at least 8 years of experience in data engineering, is required.
- Design, develop and maintain scalable and secure data pipelines and architectures.
- Collaborate with cross-functional teams to understand data needs and translate them into robust data engineering solutions.
- Manage and optimize data ingestion, transformation and storage processes.
- Ensure data quality, integrity and governance across all data platforms.
- Drive adoption of best practices in data engineering.
- Mentor and guide junior data engineers.
Requirements:
- Leadership
- Airflow
- Azure
- Pipelines
- Telehealth
- Artificial Intelligence
- Data Quality
- Data Governance
- Data Engineering
- SQL
- Solution Architecture
- Python Programming
- Data Analytics
- Apache
- Data Warehousing
- Databases
Benefits:
This role offers a unique opportunity to work on cutting-edge data projects and collaborate with a talented team of professionals.
What We Offer:
- Competitive salary and benefits package
- Ongoing training and professional development opportunities
- Collaborative and dynamic work environment
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