GCP Big Query Architect

• Design and implement scalable, secure, and high-performance data architectures on GCP, with BigQuery as the core data warehouse.
• Define end-to-end data architecture, including ingestion, transformation, storage, governance, and reporting.
• Lead migration of legacy data warehouses and ETL workloads to GCP and BigQuery.
• Design optimized BigQuery schemas, partitioning, clustering, and performance tuning strategies.
• Develop data pipelines using Cloud Dataflow, Dataproc, Cloud Composer, Cloud Functions, Pub/Sub, and Cloud Storage.
• Work with client business and technical teams to understand requirements and translate them into scalable cloud solutions.
• Establish best practices for data governance, security, metadata management, and data quality.
• Ensure compliance with enterprise security standards using IAM, encryption, audit logging, and networking best practices.
• Provide technical leadership, mentor development teams, and perform architecture and code reviews.
• Collaborate with DevOps teams to implement CI/CD pipelines and Infrastructure as Code (Terraform preferred).
• Support solution estimation, proposal preparation, technical presentations, and client workshops.
• Drive performance optimization, cost optimization, and operational excellence across GCP services.

We are looking for an experienced GCP Big Query Architect with 10 +years of IT experience and strong expertise in designing, architecting, and delivering enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will have extensive experience with BigQuery, cloud data migration, data warehousing, and analytics solutions while working closely with client stakeholders to define architecture and drive successful delivery., * 10+ years of overall IT experience with at least 5+ years in GCP data engineering and architecture.

• Strong expertise in Google BigQuery architecture, optimization, and administration.
• Hands-on experience with Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, BigQuery Transfer Service, Cloud Functions, and Cloud Run.
• Strong SQL, data modeling, dimensional modeling, and data warehousing expertise.
• Experience in migrating on-premise or legacy data platforms to GCP.
• Knowledge of ETL/ELT tools and modern data engineering practices.
• Experience with CI/CD, Terraform, Git, and DevOps practices.
• Good understanding of security, IAM, networking, and cloud governance.
• Experience integrating BI tools such as Looker, Tableau, or Power BI with BigQuery.
• Excellent communication, stakeholder management, and client-facing skills.

Preferred Qualifications

• Google Cloud Professional Data Engineer certification.
• Google Cloud Professional Cloud Architect certification.
• Experience with Dataplex, Data Catalog, and Vertex AI is an added advantage.
• Experience in Agile delivery methodologies and large enterprise transformation programs.

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