Hybrid Google Cloud Data Architect: AI-Ready Platforms

Slalom; Hartford (CT); Hybrid; USD 115,000 - 146,000; Full time

Job summary

Slalom’s Google COE is seeking a Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. You will lead architecture sessions, migrate and modernize data estates, and enable real-time and batch data pipelines across client environments.

You will collaborate with cross-functional teams, mentor engineers, and shape data modernization approaches while operating within a hybrid work model and commuting to Slalom offices as needed.

Qualifications

• Experience with Google Cloud data engineering technologies and enterprise data platforms.
• Ability to facilitate design sessions with clients and Slalom teams.
• Strong communication to describe trade-offs and implementation paths.

Responsibilities

• Architect enterprise-scale data platforms on Google Cloud.
• Migrate and modernize data estates, implement real-time and batch platforms.
• Collaborate with client teams and participate in pre-sales activities when needed.
• Ensure governance, quality, and scalable data foundations.

Skills

GCP data architecture

BigQuery

Dataproc Spark

Pub/Sub Dataflow

Airflow dbt

Data governance

Python/Java/SQL

Cloud-native design

Mentoring engineers

Tools

BigLake

Cloud Storage

Cloud SQL

Dataplex

Kafka

GKE

Looker Studio

Job description

Slalom’s Google COE is seeking a Data Architect to design and deliver enterprise-scale data platforms on Google Cloud. You will lead architecture sessions, migrate and modernize data estates, and enable real-time and batch data pipelines across client environments.

You will collaborate with cross-functional teams, mentor engineers, and shape data modernization approaches while operating within a hybrid work model and commuting to Slalom offices as needed.