Data Vault & DBT Engineer.

Key Responsibilities:
Data Modeling & Architecture :

- Design and implement enterprise-scale Data Vault 2.0 models, including Hubs, Links, Satellites, and Business Vault structures.
- Apply Enterprise Data Modeling (EDM) principles to support scalable, maintainable, and auditable data platforms.
- Develop and maintain logical and physical data models aligned with business and analytics requirements.

Snowflake Engineering:
- Design, develop, and optimize data solutions within Snowflake.
- Implement performance tuning, query optimization, clustering strategies, and cost-efficient data storage solutions.
- Support scalable cloud-based data warehouse architectures and analytics environments.

DBT Development:
- Build and maintain modular, reusable data transformation frameworks using DBT (Data Build Tool).
- Develop data models, macros, tests, documentation, and deployment workflows.
- Implement best practices for data quality, lineage, testing, and maintainability.

Data Engineering & Orchestration:
- Develop and support scalable ELT/ETL pipelines for enterprise data integration.
- Work with orchestration platforms such as Apache Airflow to automate and manage data workflows.
- Collaborate with upstream and downstream system teams to ensure reliable data delivery and processing.

Required Skills & Experience:

-Strong hands-on experience with Data Vault 2.0 modeling methodologies and Enterprise Data Modeling concepts.
- Deep expertise in Snowflake, including data warehousing, performance optimization, and cloud-native architecture.
- Proven experience developing data transformation solutions using DBT.
- Strong understanding of ELT/ETL frameworks, data integration patterns, and pipeline development.
- Experience with workflow orchestration tools such as Apache Airflow.
- Advanced SQL development and performance tuning skills.
- Strong understanding of modern data warehousing concepts and best practices.
- Excellent analytical, troubleshooting, and problem-solving abilities.
- Strong communication, collaboration, and stakeholder engagement skills.

Preferred Qualifications:
- Experience supporting enterprise-scale analytics and reporting platforms.
- Familiarity with CI/CD practices and Git-based development workflows.
- Exposure to cloud-native data engineering platforms and modern data architecture patterns.
- Experience working in Agile delivery environments.