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GCP Data Architect - Remote
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
Tools
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.
- 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.
- Implement cost optimization strategies for GCP workloads.
- 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.
- Develop complex SQL queries for analytics, transformations, and performance tuning.
- Build automation scripts and utilities in Python.
- Good understanding of CDS views, ABAP language
- 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.
- Implement CI/CD pipelines for data workflows using GitHub Actions, Cloud Build, and Terraform.
- Apply infrastructure-as-code principles for reproducible and scalable deployments.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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