GCP Data Architect - Remote

Software International; Toronto; Remote; CAD 80,000 - 100,000; Part time

Job summary

A leading tech consulting firm is seeking a GCP Data Architect to design and implement data solutions in a remote capacity. The ideal candidate will have extensive experience with Google Cloud Platform and SAP data integration. This is a contract role for an initial 6 months, with a competitive hourly rate dependent on experience, up to $140 CAD. Candidates with strong programming skills in SQL and Python are encouraged to apply.

Qualifications

• 5+ years of experience as a data architect or similar role.
• Strong understanding of Google Cloud Platform services.
• Experience with SAP data extraction and integration.

Responsibilities

• Define and implement enterprise-wide data strategy.
• Design conceptual, logical, and physical data models.
• Architect data solutions on GCP using BigQuery.

Skills

SAP data integration expertise

Cloud data platforms

Data governance

Security

Data modeling

ETL/ELT pipelines

SQL

Python programming

Tools

GCP BigQuery

Apache Airflow

Boomi

SAP SLT

Terraform

Job description

Overview

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe.

We currently have an indefinite contract role as a GCP Data Architect with our global consulting client, working remotely. This is a 6-month contract initially, but could be extended.

Role: GCP Data Architect

Type: Contract

Duration: 6 months to start + potential extension

Location: Toronto, ON - remote with occasional office visits

Rate: $110 - $140 CDN/hr C2C depending on overall experience

GCP Data Architect - Role Overview

We are seeking a highly skilled Google Cloud Platform (GCP) Data Architect with strong SAP data integration expertise to design, implement, and oversee enterprise-grade data solutions. The ideal candidate will combine deep expertise in cloud data platforms, data governance, security, and data modeling with hands-on experience in ETL/ELT pipelines, SAP data extraction, system migrations, and analytics. This role will collaborate with business stakeholders and engineering teams to create a robust, scalable, and cost-effective data ecosystem that bridges SAP and GCP environments.

Responsibilities

1. Data Strategy, Security & Governance

• Define and implement enterprise-wide data strategy aligned with business goals.
• Establish data governance frameworks, data classification, retention, and privacy policies.
• Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA, PIPEDA).

2. Data Architecture & Modeling

• Design conceptual, logical, and physical data models to support analytics and operational workloads.
• Implement star, snowflake, and data vault models for analytical systems.
• Implement S4 CDS views in Google BigQuery

3. Google Cloud Platform Expertise

• Architect data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc.
• Implement cost optimization strategies for GCP workloads.

4. Data Pipelines & Integration

• Design and orchestrate ETL/ELT pipelines using Apache Airflow (Cloud Composer), and Dataflow
• Integrate data from multiple systems including SAP BW, SAP HANA, Business Objects using tools like SAP SLT, or Google Cortex Framework.
• Leverage integration tools such as Boomi for system interoperability.

5. Programming & Analytics

• Develop complex SQL queries for analytics, transformations, and performance tuning.
• Build automation scripts and utilities in Python.
• Good understanding of CDS views, ABAP language

6. System Migration

• Lead on-premise to cloud migrations for enterprise data platforms [SAP BW/BOBJ]
• Manage migration of SAP datasets to GCP ensuring data integrity and minimal downtime.

7. DevOps for Data

• Implement CI/CD pipelines for data workflows using GitHub Actions, Cloud Build, and Terraform.
• Apply infrastructure-as-code principles for reproducible and scalable deployments.

Preferred Skills

• Proven experience with GCP BigQuery, Cloud Storage, Pub/Sub, Dataflow.
• Strong SQL and Python programming skills.
• Hands-on experience with SAP data extraction, modeling, and integration from ERP, BW, and/or HANA systems.
• Knowledge of data governance frameworks and data security best practices.
• Experience with Boomi, Informatica, or MuleSoft for SAP and non-SAP integrations.
• Experience in Google Cortex Framework for SAP-GCP integrations.