Lead Google Cloud Data Architect for AI & Modernization

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

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Well-being reimbursement $350/yr

Discounted insurance

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 collaborate with cross-functional teams, architect solutions using BigQuery, Dataplex, Dataflow, and more, and guide migrations and modernizations of data estates.

You will lead design sessions, communicate trade-offs and risks, and help shape pre-sales approaches while mentoring engineers and ensuring delivery quality in a hybrid environment.

Qualifications

• Experience designing enterprise-scale data platforms on Google Cloud.
• Ability to lead architecture discussions and present trade-offs to stakeholders.
• Mentor engineers and ensure delivery quality across projects.

Responsibilities

• Design and deliver enterprise-scale data platforms on Google Cloud (GCP).
• Lead analysis, architecture, and delivery with client technical teams; facilitate design sessions.
• Support pre-sales activities and collaborate with business development on data modernization approaches.

Skills

GCP data architecture

Data engineering

BigQuery

Dataplex

Dataflow

Dataproc

Pub/Sub

Looker/Looker Studio

Python/Java/SQL

Tools

dbt

Airflow

Terraform

Kubernetes

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 collaborate with cross-functional teams, architect solutions using BigQuery, Dataplex, Dataflow, and more, and guide migrations and modernizations of data estates.

You will lead design sessions, communicate trade-offs and risks, and help shape pre-sales approaches while mentoring engineers and ensuring delivery quality in a hybrid environment.