Senior Data Engineer

Senior Data Engineer

In the role of Senior Data Engineer, we'll count on you to:

• Design scalable pipelines and transformation strategies for high-volume and complex domains.
• Define model patterns and conformed entities to enable consistent downstream consumption.
• Perform design reviews and guide technical decisions for maintainability and governance.
• Implement advanced transformation patterns such as incremental processing, snapshots (as applicable), and reusable libraries.
• Establish project-level conventions for layering (raw/conformed/curated) and naming standards.
• Drive adoption of documentation and lineage to support impact analysis and safer change.
• Define a testing strategy and ensure appropriate coverage for critical models and metrics.
• Implement monitoring/alerting and data quality dashboards to detect issues early.
• Lead incident response and root cause analysis; improve resilience through preventative controls.
• Implement CI/CD patterns for transformations (build/test/docs) and enforce review discipline.
• Partner with platform/security to ensure access, tagging/classification, and governance alignment.
• Mentor and coach engineers through reviews, pairing, and knowledge transfer.

• Experience leading dbt adoption and enforcing project standards (layering, naming conventions, testing, documentation) across teams.
• Experience with streaming or near-real-time ingestion patterns.
• Experience collaborating with governance/security stakeholders on production controls.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or other applicable degree.
• Minimum 6 years of data engineering experience with demonstrated delivery of complex pipelines and data products.
• Strong SQL proficiency and experience with modern ELT tooling and patterns.
• Experience implementing testing, monitoring, and operational support practices.