Responsibilities
- Design and manage data pipelines, warehouses, and lakes using Snowflake and Azure Data Services.
- Build data architectures with DBT for transformations and Azure Data Factory for workflow coordination.
- Work with business and data teams to convert requirements into optimized data models while adhering to governance standards.
- Use cloud-native services like Azure Storage to improve data management and system scalability.
- Set up automated data quality validation using DBT testing frameworks.
- Enforce data governance policies to maintain accuracy, consistency, and regulatory compliance.
- Create and manage data dictionaries, lineage documentation, and metadata processes.
- Partner with stakeholders to establish data naming rules, classification systems, and standardization protocols.
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative environment working across data engineering, analytics, and business teams
Available for qualified candidates requiring sponsorship
