Lead design and delivery of scalable data platforms on Google Cloud Platform (Google Cloud Platform).
Own end-to-end data architecture using BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
Build and optimize batch and streaming pipelines for high-volume, high-velocity data.
Define data modeling, partitioning, and performance optimization best practices.
Lead a team of data engineers; provide technical guidance, reviews, and mentorship.
Collaborate with product, analytics, and ML teams to translate business needs into data solutions.
Implement data quality, validation, monitoring, and observability frameworks.
Ensure security, governance, and compliance using IAM, DLP, and encryption standards.
Drive CI/CD, automation, and infrastructure-as-code using Terraform and Cloud Build.
Optimize cost and performance across Google Cloud Platform services and data workloads.
Establish standards for coding, testing, documentation, and release management.
Troubleshoot complex data issues and lead root-cause analysis efforts.
Evaluate and introduce new Google Cloud Platform services and modern data engineering tools.
Partner with stakeholders to define roadmaps, SLAs, and data platform strategy.
Required: 8+ years in data engineering, strong Google Cloud Platform expertise, leadership experience preferred.
Never miss an opportunity! Create an alert based on the job you applied for.
Remote
•
2d ago
Job Title: Google Cloud Platform Data Architect Duration: 12 Month Location: Remote Excellent comm skills are must Job description: We are seeking an experienced Google Cloud Platform (Google Cloud Platform) Data Architect to design, build, and manage scalable, secure, and cost-optimized data solutions, aligned with reporting needs. This role involves translating business requirements into robust technical architectures, ensuring data integrity, and enabling advanced analytics through Google Cl
Easy Apply
Contract, Third Party
Depends on Experience
.jpg?format=webp)
