Description and Requirements

Job Description

Senior GCP Data Architect

Location: Remote
Employment Type: Full-Time Consultant
Duration: Project Based Contract Through End of Year with Likely Extension

Overview

We are seeking an experienced Senior GCP Data Architect to lead the design and modernization of enterprise-scale data platforms. This role 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 expertise in Google Cloud Platform (GCP), modern data architectures, and large-scale data modernization programs.

What You'll do

• Architect and lead end-to-end cloud-based data solutions on Google Cloud Platform (GCP).
• Assess existing data ecosystems and develop modernization roadmaps aligned with business objectives.
• Design scalable data platforms, integration patterns, and data models that support analytics, reporting, and AI/ML initiatives.
• Establish architecture standards, governance practices, and reusable design patterns for engineering teams.
• Lead the design of batch, streaming, and real-time data processing solutions.
• Collaborate with business stakeholders, product leaders, architects, and engineers to deliver high-impact solutions.
• Provide technical leadership and architectural oversight for strategic data initiatives.
• Drive adoption of modern architecture approaches including Data Mesh, Data Products, and event-driven architectures.

What You'll Bring

• 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platform Design.
• Extensive experience designing and implementing large-scale cloud data platforms on Google Cloud Platform (GCP).
• Strong expertise in:
  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Storage
  • Composer (Airflow)
• Experience with modern data processing frameworks including Spark and Kafka.
• Deep understanding of data modeling, data integration, data quality, and data governance.
• Experience designing highly scalable, fault-tolerant, and cloud-native data solutions.
• Expertise with modern data architectures including data lakes, lakehouses, and enterprise data warehouses.
• Experience with batch, streaming, and Change Data Capture (CDC) data pipelines.
• Strong communication and stakeholder management skills with the ability to influence technical strategy.

Preferred Qualifications

• Experience with Databricks, Snowflake, Terraform, and cloud-native orchestration tools.
• Knowledge of Data Mesh and Data Product operating models.
• Experience supporting AI/ML and advanced analytics platforms.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
• Consulting or enterprise transformation experience leading cloud modernization initiatives.

Key Skills

GCP
• BigQuery
• Data Architecture
• Data Modeling
• Data Engineering
• Data Mesh
• Data Lakes/Lakehouse
• Data Governance
• Streaming & Real-Time Processing
• Spark
• Kafka
• Airflow
• AI/ML Enablement
• Cloud Modernization

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 105-130/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.