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.
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Job Title: Data Architect Google Cloud Platform (Google Cloud Platform) Location: Remote (St. Louis, MO) Duration: Long-Term Experience: 15+ Years | Google Cloud Platform Certified We are seeking a Data Architect with strong expertise in Google Cloud Platform (BigQuery, Cloud Storage, Dataflow) and some familiarity with Informatica. Job Description We are looking for a highly experienced Data Architect with strong hands-on expertise in Google Cloud Platform (Google Cloud Platform) services inclu
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