Experience: L2/L3 support, BigQuery admin, GCP, production support
Job Description & Details
"Data engineering roles are exploding as companies move massive workloads to the cloud, and expertise in Google Cloud\u2019s data stack is in high demand. A BigQuery Administrator who can keep production pipelines humming is essential for any data\u2011driven organization. This contract position offers a fast\u2011track way to deepen your GCP credentials while solving real\u2011world performance challenges.\n\n# Job Summary\nWe are looking for a seasoned BigQuery Administrator to own day\u2011to\u2011day operations, performance tuning, and production support of our data warehouse on Google Cloud Platform. The role involves L2/L3 troubleshooting, implementing best\u2011practice security, and collaborating with data engineers to ensure reliable data pipelines.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|-------|-------------------|--------------|\n| BigQuery Administration | Core platform for querying petabytes of data; performance and cost optimization directly impact business insights. | Senior |\n| Google Cloud Platform (GCP) | Provides the underlying infrastructure; deep knowledge ensures secure, scalable, and cost\u2011effective solutions. | Senior |\n| Production Support (L2/L3) | Immediate issue resolution keeps data pipelines alive and maintains stakeholder trust. | Senior |\n\n# Interview Preparation\n1. **Explain how you would troubleshoot a sudden spike in BigQuery query cost.**\n *What the interviewer is looking for:* Understanding of query optimization, partitioning, clustering, and cost\u2011control features.\n2. **Describe the steps to set up row\u2011level security in BigQuery.**\n *What the interviewer is looking for:* Familiarity with IAM policies, authorized views, and security best practices.\n3. **How do you monitor and alert on BigQuery job failures in a production environment?**\n *What the interviewer is looking for:* Knowledge of Cloud Monitoring, logging, and automated alerting mechanisms.\n4. **What is the difference between L2 and L3 support in a data platform context? Give examples.**\n *What the interviewer is looking for:* Ability to differentiate routine issue resolution from deep architectural investigations.\n5. **Walk us through a migration of an on\u2011premise data warehouse to BigQuery. What challenges arise and how do you mitigate them?**\n *What the interviewer is looking for:* Experience with data ingestion, schema redesign, data validation, and change\u2011management processes.\n\n# Resume Optimization\n- BigQuery Administration\n- Google Cloud Platform (GCP)\n- L2 Support\n- L3 Support\n- Production Support\n- Data Warehouse Optimization\n- Cost Management\n- Row\u2011Level Security\n- Cloud Monitoring & Logging\n- ETL Pipeline Maintenance\n\n# Application Strategy\nWhen reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your updated resume, and explicitly highlight your top skills that match the role. Make sure to mention related skills you possess, such as **BigQuery administration**, **GCP cloud services**, and **L2/L3 production support**. Reference specific projects where you optimized query performance or implemented security controls, and tie those achievements directly to the responsibilities listed in the job description.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|--------------|-------------------|------------|---------------|\n| BigQuery Administrator (Contract) | 0\u20112 years in GCP & BigQuery | Platform ops, cost & performance tuning | Senior BigQuery Engineer |\n| Senior BigQuery Engineer | 3\u20115 years, end\u2011to\u2011end pipeline ownership | Architecture, advanced security, cross\u2011team collaboration | Data Platform Lead |\n| Data Platform Lead | 6\u20118 years, strategic roadmap & team leadership | Vision, governance, large\u2011scale migration | Director of Data Engineering |\n"