What You’ll Do: - Design and build robust, scalable, and secure data pipelines and infrastructure to support analytics, product intelligence, and machine learning. - Lead data architecture decisions, ensuring high performance, reliability, and maintainability across our platform. - Collaborate cross-functionally with product, engineering, and business teams to deliver data solutions that drive strategic insights and operational excellence. - Champion data quality and governance, implementing best practices for data validation, lineage, and observability. - Mentor and guide other data engineers, fostering a culture of technical excellence and continuous learning.
What We’re Looking For: - Proven experience as a staff-level data engineer in a fast-paced, product-driven environment. Engineering experience of 8+ years. - Experience in leading teams of other engineers to build a long-term technical vision and plans to achieve it. - Deep expertise in cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).
Reach out to me: kwright@certifid.com, or apply at https://jobs.lever.co/certifid/279db3d1-9bdc-487b-9103-57ab1...
Location: Remote within the US