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West Monroe

Digital consulting for business transformation

Data Architect - Google Cloud Platform

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 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, extract, transform, and load (ETL) and extract, load, and transform (ELT) patterns, data governance, and data quality practices.
  • Ability to communicate architecture decisions and tradeoffs to technical teams and business stakeholders.
  • Experience integrating artificial intelligence tools such as ChatGPT into day-to-day workflows to enhance productivity and insight generation, and critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.
  • Ability to work permanently in the United States without sponsorship.

Responsibilities

  • 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 artificial intelligence tools to accelerate analysis, synthesize complex information, and support data-driven client recommendations while evaluating outputs with sound judgment.
  • Apply artificial intelligence technologies, including generative artificial intelligence, automation tools, and data models, to enhance insights, improve delivery efficiency, and elevate client outcomes.
  • Serve as a technical subject matter expert in pursuits involving Google Cloud Platform, BigQuery, cloud data modernization, analytics, and artificial intelligence.
  • Translate client challenges into solution architectures, estimates, technical approaches, and proposal content.
  • Identify opportunities to expand data and cloud solutions within existing client relationships.
  • 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 artificial intelligence technologies.

Desired Qualifications

  • Google Cloud Professional Data Engineer or Professional Cloud Architect certification.

About the Company

West Monroe

Digital consulting for business transformation

West Monroe provides digital consulting services that help organizations modernize operations by blending business acumen with technology expertise. Its teams work with clients across industries to develop and execute digital strategies, product engineering, cybersecurity, data analytics, and transformation programs. The firm differentiates itself by combining sector knowledge with technical delivery capabilities and by expanding digital product engineering through acquisitions like Verys. Its goal is to help mid-sized and large enterprises navigate digital change, improve efficiency, and realize measurable value from technology-enabled transformation.

Company size
1,001-5,000
Company stage
Seed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2002

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