Solutions Architect - Cloud Data Warehousing (GCP)
Core
Design and lead end-to-end data architecture for scalable, secure, and AI-ready data platforms supporting advanced analytics and business decision-making.
Role type
Senior Solutions Architect (Cloud Data Warehousing)
Builds
Enterprise-scale data platforms, ETL/ELT pipelines, and AI/ML-ready data infrastructure on GCP.
Domain
Cloud Data Warehousing, Google Cloud Platform (GCP), Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Data Warehousing patterns (Star, Snowflake, Medallion, Data Vault), GCP services (BigQuery, Pub/Sub, Cloud Storage, Composer, Dataflow/Dataproc), SQL, Python, ETL/ELT design, data modeling, batch & streaming architectures, cloud architecture, distributed systems, data security (IAM, governance), data mesh, domain-driven design, AI/ML use cases in data platforms, GCP AI tools (Vertex AI)
Preferred skills
GCP Professional certifications (Data Engineer/Cloud Architect), multi-cloud or hybrid environments, BI tools (Tableau, ThoughtSpot, Power BI), CI/CD and DevOps practices
Technologies
BigQuery, Pub/Sub, Cloud Storage, Composer, Dataflow, Dataproc, Vertex AI, Tableau, ThoughtSpot, Power BI
Responsibilities
Own and lead end-to-end solution architecture for data and analytics platforms; Design scalable, high-performance data solutions using GCP services; Define data architecture standards, best practices, and governance frameworks; Build and optimize ETL/ELT pipelines for batch and real-time processing; Collaborate with business stakeholders to translate requirements into technical solutions; Drive cloud transformation and modernization initiatives; Ensure data quality, security, compliance, and cost optimization; Incorporate AI/ML capabilities to enable predictive and intelligent analytics; Provide technical leadership and mentorship to engineering teams
Seniority
Senior, hands-on IC with technical leadership
