Senior Staff Data Engineer, Data Platform at Grindr

Candidates should possess over 10 years of experience in data at scale, with a strong focus on data platforms and developer experience. Expertise in Python and SQL, along with significant experience in distributed data systems, is required. Hands-on experience with Airflow and dbt, including setting up dbt from scratch, is essential. Strong knowledge of Spark, Databricks, or other distributed computing platforms for ML training is necessary. Experience with AWS and cloud-native architectures is expected. A background in software engineering with a transition into data engineering is preferred, demonstrating the ability to apply SWE rigor to data platform design. Proven ability to enhance developer experience through holistic automated solutions and a track record of mentorship and technical leadership at the organizational level are crucial. Familiarity with data governance, classification, retention, and compliance frameworks such as SOC2, GDPR, and CCPA is also required.