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Medium due to senior specialized GCP BigQuery role at a known Insurtech, moderate applicant density.
High because specialized GCP BigQuery and data platform experience is required, limiting transferable candidates.
High because the JD mandates 10+ years plus deep GCP/BigQuery and platform engineering expertise.
Own the technical direction and architecture of the data platform across Google Cloud Platform, including BigQuery, dbt, Airflow, and Python.
Design, develop, and operationalize scalable, performant data pipelines with automated data quality checks and monitoring.
Drive engineering standards and mentor engineers across teams, influencing data platform decisions organization-wide.
10+ years in Data/ETL Engineering and Architecture with at least 3 years in senior/lead roles showing broad technical influence.
Minimum 3 years hands-on experience with Google Cloud Platform, specifically BigQuery and related managed services like Dataflow, Dataproc.
Proficient in SQL, DBT, Python (Apache Airflow, Composer), and experienced with ETL tools (Talend, Fivetran, or similar).
Bachelor's degree in Computer Science or related field or equivalent experience.
Experienced senior-level engineer with a proven record scaling cloud data platforms serving multiple teams at enterprise scale.
Strong expertise in dimensional modeling, data governance, observability, and implementing CI/CD pipelines for data workloads.
Able to influence cross-team technical decisions without direct authority and mentor engineers towards promotions.