Google Cloud Platform Data Architect

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent

Skills

Analytical Skill
Analytics
Apache Airflow
Boomi
Bridging
Build Automation
Business Objects
Cloud Computing
Cloud Storage
Collaboration
Continuous Delivery
Continuous Integration
Data Architecture
Data Extraction
Data Flow
Data Governance
Data Integration
Data Integrity
Data Modeling
DevOps
ELT
Extract
Transform
Load
GitHub
Good Clinical Practice
Google Cloud
Google Cloud Platform
HIPAA
Management
Migration
Optimization
Performance Tuning
Privacy
Python
Regulatory Compliance
SAP
SAP BI
SAP HANA
SAP PI
SLT
SQL
Scripting
Snow Flake Schema
Terraform
Workflow

Job Details

Google Cloud Platform Data Architect position

Location: Toronto, ON (Hybrid)

Note from client- prescreen candidates thoroughly to match the requirement. Add a note on how long the candidate has worked on Google Cloud Platform and SAP Integration (mandatory skills)

We are seeking a highly skilled Google Cloud Platform (Google Cloud Platform) 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 Google Cloud Platform environments.

Roles & Responsibilities

Key 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 Big Query

3. Google Cloud Platform Expertise

  • Architect data solutions on Google Cloud Platform using BigQuery, Cloud Storage, Dataflow, and Dataproc.
  • Implement cost optimization strategies for Google Cloud Platform 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 Google Cloud Platform ensuring data integrity and minimal downtime.

8. 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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