Google Cloud Data Architect — AI-Ready Data Platforms

Slalom; Charlotte (NC); Hybrid; USD 115,000 - 146,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Well-being reimbursement

Paid holidays and parental leave

Job summary

Slalom is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. The role involves leading architecture sessions, guiding client engagements, and ensuring scalable, governance‑driven data foundations.

You will collaborate with Slalom’s Google COE, apply GCP services like BigQuery, Dataplex, Dataflow, Pub/Sub, and Vertex AI, and participate in pre‑sales activities to shape modernization approaches.

Qualifications

• Experience designing and delivering enterprise-scale data platforms on Google Cloud.
• Ability to lead architecture discussions, workshops and design sessions with clients and internal teams.
• Strong communication to describe trade-offs, risks, and implementation paths.

Responsibilities

• Design and deliver enterprise-scale data platforms on Google Cloud.
• Lead analysis, architecture, design, and delivery of client data platform solutions.
• Facilitate working design sessions with clients and Slalom teams.
• Communicate benefits, risks, and trade-offs clearly to stakeholders.
• Contribute to pre-sales activities including shaping data modernization approaches.

Skills

GCP architecture

BigQuery

Dataplex

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Vertex AI

Looker

Cloud Composer

dbt

Python

Java

SQL

GKE

Cloud Run

Education

Google Cloud Professional Data Engineer

Google Cloud Professional Cloud Architect

Tools

dbt

Looker Studio

Terraform

Job description

Slalom is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. The role involves leading architecture sessions, guiding client engagements, and ensuring scalable, governance‑driven data foundations.

You will collaborate with Slalom’s Google COE, apply GCP services like BigQuery, Dataplex, Dataflow, Pub/Sub, and Vertex AI, and participate in pre‑sales activities to shape modernization approaches.