Data Architect, Google Cloud Platform (GCP)

West Monroe•Washington, DC

9h•$152,200 - $205,000•Hybrid

About The Position

West Monroe is seeking a Data Architect, Google Cloud Platform (GCP) 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.

Requirements

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 GCP 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.
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.
Ability to work permanently in the United States without sponsorship.

Nice To Haves

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

Responsibilities

Architect scalable, secure, and high-performing data platforms on GCP, 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 GCP.
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.
Serve as a technical subject matter expert in pursuits involving GCP, 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.
Develop reusable reference architectures, accelerators, standards, and delivery methodologies for GCP 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.