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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** WEST Inc - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $159,800.0 - $188,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Data as a Services, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Performance Tuning, Cloud Services, Standard Sql, Cloudera, Data Streaming, Systems Integration, Google Cloud, Data Ingestion, Generative AI, Data Management, GPT - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/0a978f15-9398-4169-9bb6-40095bc62caf ## About the Role * 7+ years of experience in data engineering, data architecture, cloud architecture, or related technology roles, including experience delivering enterprise data solutions. * Deep hands-on expertise with Google Cloud Platform and BigQuery, including data modeling, performance optimization, security, and cost management. * Experience with relevant Google Cloud Platform data services such as Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform. * Experience designing batch and/or streaming data pipelines and modern cloud data architectures. * Strong knowledge of SQL, data modeling, ETL/ELT patterns, data governance, and data quality practices. * Ability to communicate architecture decisions and tradeoffs to both technical teams and business stakeholders. * Google Cloud Professional Data Engineer or Professional Cloud Architect certification preferred. * Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs. * Hybrid role: 2x per week in office * Frequent travel to New York City for client work (every other week) * Ability to work permanently in the United States without sponsorship. ## Description West Monroe is seeking a Data Architect, Google Cloud Platform (Google Cloud Platform) to design and deliver scalable, cloud-based data solutions for our clients. As a technical delivery leader, you will guide engineering teams, advise client stakeholders, and help shape data modernization solutions that deliver measurable business value. What You Will Do Client Delivery * Architect scalable, secure, and high-performing data platforms on Google Cloud Platform, with BigQuery as a core analytics and data warehousing technology. * Lead technical design across data ingestion, transformation, storage, modeling, governance, orchestration, and consumption. * Design BigQuery data models, optimization strategies, and architectures that balance performance, scalability, security, and cost. * Guide engineering teams through technical specifications, design execution, testing, and implementation while maintaining delivery quality. * Advise clients on modernizing legacy data platforms and migrating data workloads to Google Cloud Platform. * Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs. * Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes. Business Development * Serve as a technical subject matter expert in pursuits involving Google Cloud Platform, BigQuery, cloud data modernization, analytics, and AI. * Translate client challenges into solution architectures, estimates, technical approaches, and proposal content. * Identify opportunities to expand data and cloud solutions within existing client relationships. Practice Development * Develop reusable reference architectures, accelerators, standards, and delivery methodologies for Google Cloud Platform and BigQuery. * Share technical expertise and mentor colleagues to strengthen cloud data architecture and engineering capabilities. * Stay current on Google Cloud capabilities and emerging data, analytics, and AI technologies. ## 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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Making Data Warehouses fast. 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