GCP Data Architect & BigQuery Leader (Hybrid)

West Monroe; Los Angeles (CA); Hybrid; USD 167,000 - 197,000; Full time

Job summary

West Monroe in Los Angeles is seeking a Data Architect with Google Cloud Platform expertise to design scalable, secure data platforms and lead client delivery. You will guide engineering teams, translate business needs into data architectures, and help modernize analytics workloads on GCP.

The role requires deep BigQuery and SQL capabilities, hands-on experience with Cloud Storage, Dataflow, Dataproc, and related services, and the ability to work in a hybrid setup with occasional travel to NYC.

Qualifications

• 7+ years of experience in data engineering, data architecture, cloud architecture, or related technology roles.
• 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.
• 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.

Responsibilities

• Architect scalable, secure 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.
• Apply AI technologies to enhance insights, improve delivery efficiency, and elevate client outcomes.

Skills

GCP & BigQuery

SQL & data modeling

Data pipelines design

AI tooling integration

Stakeholder communication

Education

Google Cloud certifications (PD Engineer / Pro Cloud Architect)

Tools

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Dataform

Job description

West Monroe in Los Angeles is seeking a Data Architect with Google Cloud Platform expertise to design scalable, secure data platforms and lead client delivery. You will guide engineering teams, translate business needs into data architectures, and help modernize analytics workloads on GCP.

The role requires deep BigQuery and SQL capabilities, hands-on experience with Cloud Storage, Dataflow, Dataproc, and related services, and the ability to work in a hybrid setup with occasional travel to NYC.