GCP Data Architect - Remote

Job Description

<p><strong>Software International (SI)</strong> 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.</p> <p>We currently have an indefinite contract role as a <strong>GCP Data Architect </strong>with our global consulting client, working at remotely This is a 6 month contract initially, but could be extended.</p> <p></p> <p><strong>Role:</strong> <strong><strong><strong>GCP Data Architect</strong></strong></strong></p> <p><strong>Type:</strong> Contract</p> <p><strong>Duration: 6</strong> months to start + potential extension</p> <p><strong>Location: </strong>Toronto, ON - remote with occasional office visits<br></p> <p><strong>Rate:</strong> $110 -$140 CDN/hr C2C depending on overall experience</p> <p></p> <p><strong>GCP Data Architect - Role Overview</strong></p> <p>We are seeking a highly skilled <strong>Google Cloud Platform (GCP) Data Architect</strong> with <strong>strong SAP data integration expertise</strong> to design, implement, and oversee enterprise-grade data solutions. The ideal candidate will combine deep expertise in <strong>cloud data platforms, data governance, security, and data modeling</strong> with hands-on experience in <strong>ETL/ELT pipelines, SAP data extraction, system migrations, and analytics</strong>. 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.</p> <p><strong>Key Responsibilities</strong></p> <p><strong>1. Data Strategy, Security & Governance</strong></p> <ol> <li>Define and implement enterprise-wide <strong>data strategy</strong> aligned with business goals.</li> <li>Establish <strong>data governance frameworks</strong>, data classification, retention, and privacy policies.</li> <li>Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA, PIPEDA).</li> </ol> <p><strong>2. Data Architecture & Modeling</strong></p> <ol> <li>Design <strong>conceptual, logical, and physical data models</strong> to support analytics and operational workloads.</li> <li>Implement <strong>star, snowflake, and data vault models</strong> for analytical systems.</li> <li>Implement S4 CDS views in Google Big Query</li> </ol> <p><strong>3. Google Cloud Platform Expertise</strong></p> <ol> <li>Architect <strong>data solutions on GCP</strong> using BigQuery, Cloud Storage, Dataflow, and Dataproc.</li> <li>Implement <strong>cost optimization strategies</strong> for GCP workloads.</li> </ol> <p><strong>4. Data Pipelines & Integration</strong></p> <ol> <li>Design and orchestrate <strong>ETL/ELT pipelines</strong> using Apache Airflow (Cloud Composer), and Dataflow</li> <li>Integrate data from multiple systems including<strong> SAP BW, SAP HANA, Business Objects</strong> using tools like SAP SLT, or Google Cortex Framework.</li> <li>Leverage integration tools such as <strong>Boomi</strong> for system interoperability.</li> </ol> <p><strong>5. Programming & Analytics</strong></p> <ol> <li>Develop <strong>complex SQL queries</strong> for analytics, transformations, and performance tuning.</li> <li>Build automation scripts and utilities in <strong>Python</strong>.</li> <li>Good understanding of CDS views, <strong>ABAP</strong> language</li> </ol> <p><strong>6. System Migration</strong></p> <ol> <li>Lead <strong>on-premise to cloud migrations</strong> for enterprise data platforms (SAP BW/Bobj)</li> <li>Manage migration of <strong>SAP datasets</strong> to GCP ensuring data integrity and minimal downtime.</li> </ol> <p><strong>8. DevOps for Data</strong></p> <ol> <li>Implement <strong>CI/CD pipelines</strong> for data workflows using GitHub Actions, Cloud Build, and Terraform.</li> <li>Apply <strong>infrastructure-as-code</strong> principles for reproducible and scalable deployments.</li> </ol> <p><strong>Preferred Skills</strong></p> <ol> <li>Proven experience with <strong>GCP BigQuery, Cloud Storage, Pub/Sub, Dataflow</strong>.</li> <li>Strong SQL and Python programming skills.</li> <li><strong>Hands-on experience with SAP data extraction, modeling, and integration</strong> from ERP, BW, and/or HANA systems.</li> <li>Knowledge of <strong>data governance frameworks</strong> and data security best practices.</li> <li>Experience with <strong>Boomi, Informatica, or MuleSoft</strong> for SAP and non-SAP integrations.</li> <li>Experience in <strong>Google Cortex Framework</strong> for SAP-GCP integrations.</li> </ol>