GCP Data Architect: BigQuery & Cloud Modernization

West Monroe

Town of Boston (NY)

Hybrid

USD 175,000 - 205,000

Full time

5 days ago

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Benefits offered by this job

Hybrid work 2x per week in office

Travel to NYC

Job summary

West Monroe is seeking a Data Architect specializing in Google Cloud Platform (GCP) to design and deliver scalable, cloud-based data solutions for clients. You will guide engineering teams, advise stakeholders, and shape modern data architectures that deliver measurable business value.

The role requires 7+ years in data engineering/architecture, deep GCP expertise, and experience with BigQuery, Dataflow, Dataproc, and more. Hybrid work, NYC travel, and sponsorship-free employment are offered.

Qualifications

7+ years of experience in data engineering, data architecture, cloud architecture, or related technology roles, including enterprise data solutions.
Deep hands-on expertise with Google Cloud Platform and BigQuery, including data modeling, performance optimization, security, and cost management.
Experience with 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.
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.

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.
Hybrid role: 2x per week in office; Frequent travel to New York City for client work; Ability to work permanently in the United States without sponsorship.