GCP Solution Architect
Summary
A senior solution architect role focused on designing and building cloud-native data platforms on Google Cloud Platform. Day to day involves architecting ETL/ELT pipelines using BigQuery, Dataflow, Cloud Composer (Airflow), Dataproc, Pub/Sub, and Vertex AI, with dbt, Python, and SQL for data transformations.
Job Summary (List Format):
- 12+ years of experience in Data Engineering, Data Architecture, and Cloud Solutions, with a focus on Google Cloud Platform (GCP).
- Expert hands-on experience with GCP data services: BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI.
- Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and data transformations.
- Strong expertise in ETL/ELT architecture, data pipeline development, data modeling, and data warehousing solutions.
- Proven track record in delivering end-to-end enterprise data products from architecture and design to deployment and production support.
- Deep understanding of enterprise Data Architecture, including Data Mesh, Data Lakehouse, metadata, lineage, governance, and security frameworks.
- Extensive experience with Master Data Management (MDM) strategy, solution selection, integration, implementation, and enterprise data governance.
- Experience leveraging AI-enabled and GenAI-driven approaches for data engineering automation and intelligent analytics.
- Strong capability in data testing, validation, reconciliation, quality assurance, and production readiness assessments.
- Expertise in DevOps, CI/CD, Infrastructure as Code (Terraform), deployment automation, and operational support.
- Experience leading cloud modernization, migration, and large-scale digital transformation initiatives.
- Demonstrated ability to provide senior technical leadership, mentor engineers, and lead multidisciplinary teams.
- Excellent stakeholder management, communication, and consulting skills to translate business requirements into scalable cloud solutions.
- Preferred certifications include Google Professional Cloud Architect, Google Professional Data Engineer, and other relevant cloud/AI certifications.
- Ideal candidate: A senior cloud and data architecture leader with expert GCP skills, enterprise data architecture and MDM knowledge, AI innovation experience, and proven leadership in delivering enterprise-scale data transformation programs.
- 12+ years of experience in Data Engineering, Data Architecture, and Cloud Solutions, with a focus on Google Cloud Platform (GCP).
- Expert hands-on experience with GCP data services: BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI.
- Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and data transformations.
- Strong expertise in ETL/ELT architecture, data pipeline development, data modeling, and data warehousing solutions.
- Proven track record in delivering end-to-end enterprise data products from architecture and design to deployment and production support.
- Deep understanding of enterprise Data Architecture, including Data Mesh, Data Lakehouse, metadata, lineage, governance, and security frameworks.
- Extensive experience with Master Data Management (MDM) strategy, solution selection, integration, implementation, and enterprise data governance.
- Experience leveraging AI-enabled and GenAI-driven approaches for data engineering automation and intelligent analytics.
- Strong capability in data testing, validation, reconciliation, quality assurance, and production readiness assessments.
- Expertise in DevOps, CI/CD, Infrastructure as Code (Terraform), deployment automation, and operational support.
- Experience leading cloud modernization, migration, and large-scale digital transformation initiatives.
- Demonstrated ability to provide senior technical leadership, mentor engineers, and lead multidisciplinary teams.
- Excellent stakeholder management, communication, and consulting skills to translate business requirements into scalable cloud solutions.
- Preferred certifications include Google Professional Cloud Architect, Google Professional Data Engineer, and other relevant cloud/AI certifications.
- Ideal candidate: A senior cloud and data architecture leader with expert GCP skills, enterprise data architecture and MDM knowledge, AI innovation experience, and proven leadership in delivering enterprise-scale data transformation programs.