Senior Data Engineer
Senior Data Engineer
Senior Data Engineer
Imprint
Imprint is a forward-thinking company focused on co-branded credit cards and financial products, partnering with major brands to enhance customer loyalty and savings. The Senior Data Engineer will play a crucial role in developing and maintaining the data infrastructure that supports various business functions, ensuring reliable and scalable data solutions.
Qualification
- 6+ years of experience in data engineering, analytics engineering, or related roles.
- Expertise in Snowflake and dbt Cloud, with a strong understanding of dimensional modeling and data warehouse best practices.
- Experience working with Change Data Capture (e.g., Fivetran, Hevo), ETL/ELT pipelines, and orchestration frameworks (e.g., dbt Cloud, Airflow).
- Familiarity with reverse ETL tools like Hightouch or Segment, and operational analytics use cases.
- Strong analytical and problem-solving skills, with the ability to work collaboratively across teams.
Responsibility
- Design, build, and maintain scalable data pipelines and infrastructure across batch and streaming systems.
- Own core components of Imprint’s data stack, including Snowflake, dbt Cloud, Change Data Capture frameworks, and reverse ETL integrations.
- Develop and enforce best practices in data modeling, testing, observability, and governance.
- Partner with stakeholders across Product, Analytics, Finance, and Engineering to ensure timely and accurate data delivery.
- Work on external data integrations, such as partner-facing data shares and financial reporting pipelines.
- Contribute to architectural decisions for scaling data infrastructure, including schema design, orchestration, and data lineage.
- Champion clear documentation, reproducibility, and reliability for critical datasets and workflows.
- Stay informed about modern data tools and trends and help drive their adoption when appropriate.
