Google Cloud Data Architect — Real-Time & AI-ready Platforms

Slalom; Tampa (FL); Hybrid; USD 115,000 - 146,000; Full time

Job summary

Slalom is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud with a focus on data modernization, analytics, and AI‑ready foundations. You’ll work in collaborative teams with Slalom and client engineers to architect scalable solutions using BigQuery, Dataplex, Dataflow, Pub/Sub, and Looker.

You will also help migrate legacy environments to Google Cloud, enable real-time and batch data platforms, and lead design sessions to drive consensus and

Qualifications

• Broad experience with Google Cloud data engineering and enterprise data platforms.
• Ability to lead architecture design sessions with clients and Slalom teams.

Responsibilities

• Design and deliver enterprise-scale data platforms on Google Cloud Platform (GCP).
• Architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and more.
• Migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics.
• Lead analysis, architecture, design, and delivery of client data platform solutions.
• Support pre-sales activities and collaborate with business development.

Skills

GCP architecture

BigQuery

Dataplex

Dataflow

Dataproc

Pub/Sub

Data governance

Python/Java/SQL

Tools

Looker Studio

dbt

Spark

Cloud Composer

Job description

Slalom is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud with a focus on data modernization, analytics, and AI‑ready foundations. You’ll work in collaborative teams with Slalom and client engineers to architect scalable solutions using BigQuery, Dataplex, Dataflow, Pub/Sub, and Looker.

You will also help migrate legacy environments to Google Cloud, enable real-time and batch data platforms, and lead design sessions to drive consensus and