Google Cloud Data Architect – Real-Time, AI-Ready Platforms

Slalom; Dallas (TX); Hybrid; USD 115,000 - 146,000; Full time

Benefits offered by this job

Health, dental & vision coverage

401(k) with match

Paid holidays

Job summary

Slalom is seeking a Data Architect for its Google COE to design and deliver enterprise-scale data platforms on Google Cloud. You will architect solutions using BigQuery, Dataproc, Pub/Sub, Dataflow, and Looker, guiding migrations and real-time/batch data workflows.

You’ll collaborate with client teams, shape technical options, and support estimates and delivery plans in a hybrid, Dallas-area role. Strong cloud data analytics and communication skills required.

Qualifications

• Extensive Google Cloud data engineering experience and enterprise data platform design.
• Experience delivering scalable data platforms on Google Cloud.
• Strong communication, collaboration, and client-facing skills.

Responsibilities

• Design and deliver enterprise-scale data platforms on Google Cloud.
• Lead architecture discussions and facilitate design sessions with clients.
• Contribute to pre-sales and delivery planning for data modernization initiatives.

Skills

GCP data architecture

BigQuery

Dataproc / Spark

Pub/Sub

Dataflow

Data governance

Python / Java / SQL

Looker

GKE / CI/CD

dbt

Tools

Cloud Composer

dbt

Looker Studio

Terraform

Job description

Slalom is seeking a Data Architect for its Google COE to design and deliver enterprise-scale data platforms on Google Cloud. You will architect solutions using BigQuery, Dataproc, Pub/Sub, Dataflow, and Looker, guiding migrations and real-time/batch data workflows.

You’ll collaborate with client teams, shape technical options, and support estimates and delivery plans in a hybrid, Dallas-area role. Strong cloud data analytics and communication skills required.