Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.