GCP Data Lead - Hybrid

Software International; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading technology firm is seeking a GCP Data Lead to design and implement enterprise-grade data solutions using Google Cloud Platform. The ideal candidate will possess extensive experience in data integration, governance, and management. Responsibilities include mentoring a team of data engineers and collaborating with business stakeholders. This hybrid role is based in Toronto, requiring on-site presence 2-3 days a week. Competitive contract terms apply.

Qualifications

• 8+ years of experience with GCP services
• 2-3 years of leadership experience in data engineering
• Strong SQL and Python programming skills
• Hands-on experience with SAP data extraction and integration

Responsibilities

• Lead and mentor a team of data engineers.
• Design and implement ETL/ELT pipelines.
• Collaborate with stakeholders to ensure timely completion of projects.
• Design data models for analytics.

Skills

GCP BigQuery

SQL

Python

SAP data extraction

Data governance

Mentoring

Tools

Apache Airflow

Google Cloud Storage

SAP BW

Google Cortex Framework

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 a multiple, re-extendable, long term contract roles as a GCP Data Lead - Hybrid with our global SAP consulting client, working onsite at large CPG/Entertainment client's office 2-3 days a week in downtown Toronto. This is a 6 month contract initially, but will be extended long term.

Role:

GCP Data Lead - Hybrid

Type: Contract

# of Roles: 1

Duration: 9-12 months to start + possible extensions

Location: Toronto, ON - Hybrid, 2-3 days onsite in downtown Toronto

Rate: Open based on expectations as a C2C contractor

Role Overview

We are seeking a highly skilled Google Cloud Platform (GCP) Data Lead 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

1. Mentoring
   • Lead and mentor a team of data engineers in building ETL/ELT pipelines for SAP and other ERP sources into GCP
   • Set engineering standards, best practices, and coding guidelines.
2. Provide technical direction, code reviews, and support for complex data solutions.
   • Collaborate with project managers, provide the estimates, track the progress, remove roadblocks to ensure timely completion of work.
   • Collaborate with BI teams, Data analyst to enable reporting solution.

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.

Google Cloud Platform Expertise

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

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.

Programming & Analytics

• Develop complex SQL queries for analytics, transformations, and performance tuning.
• Build automation scripts and utilities in Python.

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

• 8+ years of proven experience with GCP BigQuery, Composer, Cloud Storage, Pub/Sub, Dataflow.
• Min 2–3 years of leadership experience in mentoring small to mid‑size data engineering team.
• 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 security best practices.
• Familiarity with DevOps tools for data.
• Understanding of Google Cortex Framework for SAP‑GCP integrations.