GCP Data Architect

Software International; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A technical talent provider is seeking a GCP Data Architect to design and oversee enterprise-grade data solutions while working remotely. The role requires strong SAP data integration skills and experience with cloud data platforms. Responsibilities include defining data strategy, implementing governance frameworks, and leading on-premise to cloud migrations. It offers a contract position with a competitive hourly rate.

Qualifications

• Strong expertise in Google Cloud Platform (GCP) and SAP data integration.
• Hands-on experience with ETL/ELT pipelines and data modeling.
• Proven ability to implement data governance frameworks.

Responsibilities

• Define and implement enterprise-wide data strategy.
• Design conceptual, logical, and physical data models.
• Implement CI/CD pipelines for data workflows.

Skills

GCP BigQuery

Cloud Storage

SQL

Python

SAP data integration

ETL/ELT pipelines

Tools

Apache Airflow

Dataflow

GitHub Actions

Boomi

Job description

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.

Type: Contract

Duration: 6 months to start + potential extension

Location: Toronto, ON - remote with occasional office visits

Rate: $100 - $120 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.

Key Responsibilities

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).
• 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.
• Architect data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc.
• 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.

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.

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.

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.