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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable BigQuery data models, tables, views, functions, and stored procedures to support analytics and reporting across multi-tenant, multi-environment systems.
Own SQL deployment manifests and rollout logic for multi-environment and multi-locale deployments using GitLab CI/CD to ensure reliable and secure delivery.
Lead technical initiatives by collaborating with data architects, scientists, and engineers while providing code reviews, mentorship, and driving data platform scalability, reliability, and security improvements.
Minimum Requirements
Bachelor's degree in Computer Science, Information Technology, or related field.
6-9 years of experience designing, building, and maintaining cloud-based data solutions, specifically with BigQuery and Google Cloud Platform.
Advanced SQL and Python skills with experience in BigQuery SQL, ANSI SQL, and large-scale multi-tenant schema design.
Work Experience Required: 6-9 years cloud data engineering experience, specifically with BigQuery and cloud data warehouse platforms.
Ideal Candidate Profile
Experienced in designing and deploying scalable data models and solutions in complex, multi-tenant, multi-locale environments with global teams.
Capable of leading complex, cross-functional data initiatives with strong focus on data governance, quality, performance, and security.
Familiar with AI-assisted engineering tools (e.g., Claude AI, GitHub Copilot) and BI/reporting platforms such as Looker/LookML to enhance productivity and code quality.