About the Role
The role involves building and managing cloud data infrastructure using Azure technologies, ensuring data pipelines are efficient, reliable, and secure. Candidates will work closely with analytics and development teams to support data-driven decision-making.
Responsibilities
- Design and implement data storage solutions using Azure Data Lake and Blob Storage
- Develop and maintain ETL pipelines with Azure Data Factory
- Optimize data workflows for performance and scalability
- Collaborate with data analysts to understand reporting requirements
- Ensure data accuracy and integrity across systems
- Monitor and troubleshoot data pipeline issues
- Support data governance and compliance standards
- Integrate data from multiple sources into centralized repositories
- Automate data validation and quality checks
- Document data architecture and pipeline designs
- Work with security teams to enforce data access controls
- Implement monitoring and alerting for data operations
- Participate in code reviews and technical planning sessions
- Stay current with Azure platform updates and best practices
- Contribute to improving data engineering processes
Nice to Have
- Certification in Microsoft Azure data technologies
- Experience with DevOps practices in data projects
- Familiarity with CI/CD pipelines for data solutions
- Knowledge of data privacy regulations
- Exposure to machine learning pipelines
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote
Team
Collaborative team focused on data architecture and cloud-based solutions
Why This Role Matters
This position plays a key role in enabling data accessibility and reliability for business insights across the organization.
What to Expect
You will work in a flexible, remote-first environment with a team committed to innovation and technical excellence.
Not available
