Hybrid Google Cloud Data Architect – BigQuery & AI-Ready Data

Slalom; St. Louis (MO); Hybrid; USD 115,000 - 146,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Paid holidays

Disability insurance

Well-being reimbursement

Job summary

Slalom is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. You will collaborate with clients and internal teams to migrate data estates, implement real-time and batch architectures, and enable analytics-driven outcomes.

You will guide architecture decisions, ensure governance and data quality, and participate in pre-sales activities while working in a hybrid environment within commutable distance to office locations.

Qualifications

• Experience designing enterprise-scale data platforms on Google Cloud.
• Ability to migrate and modernize data estates in client environments.
• Proficiency with real-time and batch data pipelines.
• Strong stakeholder-facing communication and design-session facilitation.
• Experience with governance, metadata, and data quality patterns.

Responsibilities

• Design and deliver enterprise-scale data platforms on Google Cloud.
• Lead architecture discussions and design sessions with clients and Slalom teams.
• Migrate and modernize clients' data estates to Google Cloud.
• Implement real-time and batch data platforms to enable governed analytics.
• Support pre-sales activities and provide delivery estimates.

Skills

GCP data architecture

Data engineering

Python

SQL

Cloud-native data platforms

Tools

BigQuery

Dataproc

Dataflow

Pub/Sub

Dataplex

Looker

Vertex AI

Cloud Composer

GKE

Job description

Slalom is seeking a Google Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. You will collaborate with clients and internal teams to migrate data estates, implement real-time and batch architectures, and enable analytics-driven outcomes.

You will guide architecture decisions, ensure governance and data quality, and participate in pre-sales activities while working in a hybrid environment within commutable distance to office locations.