Bigquery Architect

Roles & Responsibilities

Roles and Responsibilities:

• Design and own BigQuery-based data warehouse/lakehouse architectures for large-scale analytics (preferably Telco domains like CDR, Billing, OSS/BSS).
• Define data modeling standards (dimensional, wide tables, data products) and optimize for performance and cost (partitioning, clustering).
• Architect and manage end-to-end data pipelines using BigQuery, Dataflow, Airflow (Cloud Composer), Pub/Sub, and Cloud Storage.
• Build and optimize batch and streaming ingestion frameworks for high-volume data.
• Ensure data quality, security, performance tuning, and governance across platforms.
• Lead migration of on-prem data warehouses to GCP/BigQuery.
• Collaborate with stakeholders, data engineers, and analysts to deliver scalable data solutions.
• Establish best practices, standards, and CI/CD frameworks for data engineering.
• Mentor team members and drive continuous improvement.

Job Description

Critical Skills to Possess:

• 1012 years in Data Engineering/Architecture with 3+ years in BigQuery/GCP.
• Strong expertise in BigQuery (schema design, optimization, cost control).
• Hands-on experience with GoogleSQL, Python, PySpark, Airflow.
• Solid understanding of data warehousing, ETL/ELT, dimensional modeling.
• Experience with streaming (Pub/Sub, Dataflow) and large-scale data processing.
• Exposure to on-prem & cloud DWs (Oracle, Teradata, Snowflake, Databricks, etc.).
• Experience with data migration, CI/CD, Git, Terraform is a plus.