GCP Big Query Architect

You are seeking an experienced BigQuery Architect with strong telecommunications domain knowledge to design, govern, and optimize large-scale analytical data platforms on Google Cloud Platform (GCP). Your role involves defining end-to-end data architecture, building scalable BigQuery-centric solutions, and enabling advanced analytics across network, customer, billing, and service assurance domains. Key Responsibilities: - Design and own BigQuery-based data warehouse and lakehouse architectures for Telco use cases (Network, CDR, Billing, OSS/BSS, Customer 360). - Define data modeling standards (dimensional, wide tables, data products) optimized for Telco analytics workloads. - Establish partitioning, clustering, cost-control, and performance optimization strategies in BigQuery. - Architect and oversee end-to-end data pipelines using BigQuery, Dataflow, Cloud Composer (Airflow), Dataproc, Data Fusion, Pub/Sub, and Cloud Storage. - Design batch and streaming ingestion frameworks for high-volume Telco data (CDRs, alarms, KPIs, logs). - Guide implementation using GoogleSQL, Python, PySpark, and Airflow DAGs. Qualifications Required: - 12-15 years of experience in Data Engineering / Data Architecture, with 3+ years on GCP BigQuery. - Strong hands-on and architectural expertise in BigQuery (schema design, optimization, cost management). - Proven experience designing large-scale Telco data platforms. - Expert in GoogleSQL, Python, PySpark, and Airflow DAGs. - Strong understanding of data warehousing, ELT/ETL, dimensional modeling, and analytics patterns. - Experience with CI/CD, Git, and Infrastructure-as-Code (Terraform preferred). - Hands-on experience with streaming and high-volume data ingestion (Pub/Sub, Dataflow). Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process, and we will work with you to address your needs. You are seeking an experienced BigQuery Architect with strong telecommunications domain knowledge to design, govern, and optimize large-scale analytical data platforms on Google Cloud Platform (GCP). Your role involves defining end-to-end data architecture, building scalable BigQuery-centric solutions, and enabling advanced analytics across network, customer, billing, and service assurance domains. Key Responsibilities: - Design and own BigQuery-based data warehouse and lakehouse architectures for Telco use cases (Network, CDR, Billing, OSS/BSS, Customer 360). - Define data modeling standards (dimensional, wide tables, data products) optimized for Telco analytics workloads. - Establish partitioning, clustering, cost-control, and performance optimization strategies in BigQuery. - Architect and oversee end-to-end data pipelines using BigQuery, Dataflow, Cloud Composer (Airflow), Dataproc, Data Fusion, Pub/Sub, and Cloud Storage. - Design batch and streaming ingestion frameworks for high-volume Telco data (CDRs, alarms, KPIs, logs). - Guide implementation using GoogleSQL, Python, PySpark, and Airflow DAGs. Qualifications Required: - 12-15 years of experience in Data Engineering / Data Architecture, with 3+ years on GCP BigQuery. - Strong hands-on and architectural expertise in BigQuery (schema design, optimization, cost management). - Proven experience designing large-scale Telco data platforms. - Expert in GoogleSQL, Python, PySpark, and Airflow DAGs. - Strong understanding of data warehousing, ELT/ETL, dimensional modeling, and analytics patterns. - Experience with CI/CD, Git, and Infrastructure-as-Code (Terraform preferred). - Hands-on experience with streaming and high-volume data ingestion (Pub/Sub, Dataflow). Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process, and we will work with you to address your needs.