Google Cloud Platform

3 days ago

Toronto, Ontario, Canada Archigos Solutions Full time US$80,000 - US$120,000 per year

Google Cloud Platform (GCP) Data Lead

Location: Toronto ON(Hybrid)

12 months


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.

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.

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.

·      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.

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.

3. Google Cloud Platform Expertise

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

6. 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.

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.

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