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About the role
We are looking for an experienced Senior Data Engineer to join a high-impact data team responsible for designing, building, and maintaining scalable data platforms that support analytics, reporting, and business intelligence initiatives. The ideal candidate has deep expertise in Snowflake, dbt, and modern data warehousing best practices, with strong experience in data modeling and cloud-based data platforms.
What you'll do
As a Senior Data Engineer, you will:
- Architect, administer, and optimize Snowflake environments.
- Provision and manage Snowflake accounts using Infrastructure as Code (Terraform and CI/CD tooling).
- Enforce data security, governance, and privacy standards.
- Perform Snowflake performance tuning and optimization.
- Design, develop, and maintain scalable data pipelines using Snowflake, dbt, Airflow, and Hevo.
- Build and maintain ETL processes that move large volumes of data across multiple systems and cloud environments.
- Design and implement robust data models using Data Vault 2.0 and Kimball methodologies.
- Develop data quality controls, monitoring, and auditing processes to ensure compliance and reliability.
- Collaborate closely with software engineering, DevOps, analytics, and business teams.
- Promote engineering best practices, testing, documentation, and continuous improvement across the data platform.
What we're looking for
- 5+ years of experience working within data engineering teams.
- 3+ years of hands-on experience managing production Snowflake environments.
- 3+ years of professional Data Engineering experience.
- Strong experience building data warehouse solutions using dbt.
- Advanced SQL skills.
- Python scripting (or equivalent).
- Strong communication and collaboration skills.
- Customer-focused mindset.
Must-Have Skills
- Snowflake
- dbt
- Data Modeling
- Data Vault 2.0 (Mandatory)
- SQL
- Python
Highly Preferred
- Kimball Data Modeling
- Airflow
- AWS
- PostgreSQL
- Hevo
- Terraform
- Datadog
- Kubernetes
- CI/CD
- EventStoreDB
- MySQL
