> Markdown version of [/jobs/ext/2058458-gcp-architect](https://www.wearedevelopers.com/jobs/ext/2058458-gcp-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Architect - **Company:** Net2Source - **Location:** Nashville, TN, United States (Remote available) - **Salary:** $16,477.0 - $26,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Artificial Intelligence, Airflow, BigTable, BigQuery, Cloud Storage, Continuous Integration, Data Fusion, Extract Transform Load (ETL), Data Flow Control, Identity and Access Management, Python (Programming Language), Standard Sql, Cloudera, Apache Spark, Multi-Cloud, Real Time Data, Terraform, Looker Analytics, Data Pipelines - **Published:** August 14, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=fyjdnwkqny26xqof9rceu6y6gam6750308agqi8uui1cmk3v9j6duy26aoewnusi&compid=0/jobs/29071440#/jobs/29071440 ## About the Role GCP expertise (ideally Professional Data Engineer certified) - Strong SQL and Python/Scala; experience with Spark/Beam - Hands-on with GCP services, IaC (Terraform), and CI/CD - Excellent communication and stakeholder management - Proactive and solution-oriented ### **Nice to Have** - Experience with Looker, Vertex AI, or multi-cloud environments - Knowledge of real-time data tools (Bigtable, Firestore) ## Description Design and optimize scalable, secure, and cost-efficient data architectures on GCP, aligning solutions with business goals. - Design end-to-end batch and streaming architectures using BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage - Build scalable data models for analytics and ML - Develop and optimize ETL/ELT pipelines using Data Fusion, Composer (Airflow), and dbt - Implement security and governance (IAM, VPC-SC, DLP, encryption) ensuring compliance (e.g., GDPR, HIPAA) - Optimize performance and cost (BigQuery tuning, monitoring) - Collaborate with cross-functional teams to enable analytics and AI/ML use cases ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)