Senior GCP Data Architect — Remote Modernization Leader

Slalom; Dallas (TX); On-site; USD 145,000 - 179,000; Full time

Benefits offered by this job

401(k) matched

Health, dental, vision coverage

Adoption and fertility assistance

Long-term disability

Well-being reimbursement

Paid holidays and time off

Job summary

Slalom is seeking a Senior GCP Data Architect to lead enterprise-scale data platform design and modernization on Google Cloud. You will define architecture strategy, establish scalable data solutions, and partner with engineering and business teams to enable advanced analytics, AI/ML, and cloud transformation initiatives.

The ideal candidate brings deep GCP expertise, modern data architectures, and experience guiding large-scale data modernization programs.

Qualifications

• 10+ years in data architecture or enterprise data platforms.
• Extensive GCP data platform experience with BigQuery, Dataflow, Dataproc, Pub/Sub.
• Strong data modeling, governance, and scalable cloud-native design.

Responsibilities

• Architect end-to-end cloud data solutions on GCP for enterprise-scale needs.
• Develop modernization roadmaps aligning with business objectives.
• Design scalable data platforms, models, and integration patterns.
• Establish standards, governance, and reusable designs.
• Lead batch, streaming, and real-time data processing initiatives.
• Collaborate with stakeholders to deliver high-impact data solutions.
• Provide architectural leadership for strategic data initiatives.
• Promote Data Mesh, Data Products, and event-driven architectures.

Skills

GCP Data Architecture

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Composer (Airflow)

Spark

Kafka

Data modeling

Governance

Leadership

Tools

Databricks

Snowflake

Terraform

Cloud orchestration tools

Job description

Slalom is seeking a Senior GCP Data Architect to lead enterprise-scale data platform design and modernization on Google Cloud. You will define architecture strategy, establish scalable data solutions, and partner with engineering and business teams to enable advanced analytics, AI/ML, and cloud transformation initiatives.

The ideal candidate brings deep GCP expertise, modern data architectures, and experience guiding large-scale data modernization programs.