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Senior Data Engineer in Bangalore with broad GCP/BigQuery/dbt/Airflow requirements attracts high competition.
GCP BigQuery data platform leadership is transferable, but seniority and insurance context increase domain specificity.
Explicit 10+ years and mandatory GCP/BigQuery, dbt, Airflow, and leadership experience make filters highly strict.
Own end-to-end architecture and development of scalable data pipelines and data platform on Google Cloud Platform (GCP) including BigQuery, dbt, Airflow, and Python.
Define and enforce engineering standards, data quality, governance, and performance optimization across the data platform and teams.
Mentor engineers and lead technical roadmap decisions influencing cross-team data solutions and addressing systemic data problems.
10+ years in Data/ETL Engineering and Architecture, with at least 3 years in senior/lead roles influencing beyond immediate teams.
3+ years hands-on experience with Google Cloud Platform (GCP), including deep expertise in BigQuery, DataProc, Dataflow.
Strong skills in SQL, Python, DBT, Apache Airflow, and ETL tools such as Talend or Fivetran.
Bachelor's degree in Computer Science or related field or equivalent experience.
Experienced in architecting and scaling cloud data platforms serving multiple consumer teams with attention to scale, latency, and cost.
Proven ability to lead technical standards, quality frameworks, and mentor engineers to promotion.
Comfortable working at organizational level influence, driving cross-team technical decisions without direct authority.