Senior GCP Data Architect — Remote Data Platform Modernization

Slalom; Tallahassee (FL); On-site; USD 145,000 - 179,000; Full time

Benefits offered by this job

401(k) with match

Health/dental/vision coverage

Fertility assistance

Long-term disability

Well-being stipend $350/year

Job summary

Slalom seeks a Senior GCP Data Architect to lead enterprise-scale data platform modernization. Define architecture strategy, establish scalable data solutions, and partner with engineering and business teams to enable analytics, AI/ML, and cloud transformation initiatives.

The ideal candidate brings deep GCP, modern data architectures, and large-scale modernization experience across data lakes, lakehouses, and warehouses.

Qualifications

• 10+ years in Data Architecture, Data Engineering, or enterprise data platform design.
• Extensive experience designing large-scale cloud data platforms on GCP.
• Expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow).
• Experience with Spark and Kafka for modern data processing.
• Strong data modeling, integration, quality, and governance.
• Experience building scalable, fault-tolerant, cloud-native data solutions.

Responsibilities

• Architect and lead end-to-end cloud-based data solutions on GCP.
• Develop modernization roadmaps aligned with business objectives.
• Design scalable data platforms, data models, and integration patterns for analytics and AI/ML.
• Establish architecture standards, governance, and reusable design patterns.
• Lead batch, streaming, and real-time data processing design.
• Collaborate with stakeholders to deliver high-impact data solutions.
• Provide architectural leadership for strategic data initiatives.
• Drive adoption of Data Mesh, Data Products, and event-driven architectures.

Skills

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Composer (Airflow)

Spark

Kafka

Data Modeling

Data Governance

Tools

Databricks

Snowflake

Terraform

Job description

Slalom seeks a Senior GCP Data Architect to lead enterprise-scale data platform modernization. Define architecture strategy, establish scalable data solutions, and partner with engineering and business teams to enable analytics, AI/ML, and cloud transformation initiatives.

The ideal candidate brings deep GCP, modern data architectures, and large-scale modernization experience across data lakes, lakehouses, and warehouses.