Job
Description
As a Solutions Architect with expertise in Google Cloud Cortex Framework, your role will involve leading end-to-end cloud architecture, data modernization, and enterprise analytics initiatives. You will need to apply strong architectural thinking, hands-on technical execution, and collaborate with global stakeholders to deliver scalable, reliable, and insight-driven cloud solutions. Key Responsibilities: - Define end-to-end cloud strategy, architecture, and execution including migration, modernization, and optimization of enterprise workloads. - Design robust architectures utilizing Google Cloud Cortex Framework, BigQuery, Dataflow, Dataform, Looker/LookML, Vertex AI, and related GCP services. - Translate functional and analytical requirements into scalable, secure, cost-optimized technical solutions. - Architect and implement ETL/ELT pipelines, data transformations, semantic layers, and analytical data models. - Ensure alignment with GCP best practices, enterprise security standards, and data governance frameworks. - Resolve data inconsistencies and ensure harmonized KPIs across multiple data sources. - Design and build data ingestion frameworks including SAP source system extraction. - Prepare, cleanse, and transform datasets for analytical and visualization use cases. - Establish architectural patterns for data quality, metadata management, lineage tracking, and performance optimization. - Partner with business teams, product owners, and global stakeholders to understand analytical and reporting needs. - Communicate architectural decisions, trade-offs, and recommendations clearly and effectively. - Facilitate technical workshops and guide teams through best practice adoption. - Provide thought leadership on Cortex-based architectures and reusable design accelerators. - Mentor engineering teams on development, deployment, and operational excellence. - Conduct architecture reviews, performance assessments, and troubleshoot complex issues. - Own solution design artifacts such as HLD, LLD, data flow diagrams, and technical specifications. - Oversee delivery quality, ensuring milestones are met on time and with the expected rigor. - Collaborate with cross-functional teams to ensure smooth end-to-end project implementation. Qualifications Required: - 8-10 years of experience in cloud, data engineering, analytics, or solution architecture roles. - Hands-on experience with Google Cloud Cortex Framework. - Strong expertise in Google Cloud Platform (GCP) services like BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Looker/LookML, and Vertex AI. - Demonstrated experience in cloud migration & modernization strategies, ETL/ELT design and implementation, data modeling, and designing scalable data pipelines and analytics architectures. - Strong foundation in data preparation, transformation, optimization, logging, monitoring, and performance tuning. Additional Company Details: Omit this section as no additional details about the company are provided in the job description. As a Solutions Architect with expertise in Google Cloud Cortex Framework, your role will involve leading end-to-end cloud architecture, data modernization, and enterprise analytics initiatives. You will need to apply strong architectural thinking, hands-on technical execution, and collaborate with global stakeholders to deliver scalable, reliable, and insight-driven cloud solutions. Key Responsibilities: - Define end-to-end cloud strategy, architecture, and execution including migration, modernization, and optimization of enterprise workloads. - Design robust architectures utilizing Google Cloud Cortex Framework, BigQuery, Dataflow, Dataform, Looker/LookML, Vertex AI, and related GCP services. - Translate functional and analytical requirements into scalable, secure, cost-optimized technical solutions. - Architect and implement ETL/ELT pipelines, data transformations, semantic layers, and analytical data models. - Ensure alignment with GCP best practices, enterprise security standards, and data governance frameworks. - Resolve data inconsistencies and ensure harmonized KPIs across multiple data sources. - Design and build data ingestion frameworks including SAP source system extraction. - Prepare, cleanse, and transform datasets for analytical and visualization use cases. - Establish architectural patterns for data quality, metadata management, lineage tracking, and performance optimization. - Partner with business teams, product owners, and global stakeholders to understand analytical and reporting needs. - Communicate architectural decisions, trade-offs, and recommendations clearly and effectively. - Facilitate technical workshops and guide teams through best practice adoption. - Provide thought leadership on Cortex-based architectures and reusable design accelerators. - Mentor engineering teams on development, deployment, and operational excellence. - Conduct architecture reviews, performance assessments, and troubleshoot com
