2 дня назад
Senior Cloud Data Arquitect (Google Cloud)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Cloud Data Arquitect (Google Cloud): Designing production-ready cloud data architectures, ETL/ELT pipelines, integrations, and reusable data models for marketing and customer analytics with an accent on Google Cloud, BigQuery, API integration, and data quality. Focus on leading technical discovery, solving ambiguous client data challenges, and building secure, scalable pipelines that support campaign performance, acquisition, and retention decisions.
Location: Remote - based in Canada
Company
Napkyn, a company, is a full-stack Google partner delivering data-driven marketing and Google marketing solutions for leading brands.
What you will do
- Lead client discovery sessions and design practical cloud data architectures aligned with business and marketing objectives.
- Integrate data from paid media, analytics, CRM, and other marketing platforms using APIs and scripting.
- Build or advise on ETL/ELT infrastructure, reusable data models, pipelines, and dashboard templates.
- Assess and improve customer pipelines for efficiency, security, scalability, reliability, and data quality.
- Act as a trusted technical advisor, facilitate solution discussions, and align client business, marketing, and technical stakeholders.
- Mentor technical colleagues and promote effective engineering and architectural practices.
Requirements
- Experience building ETL/ELT pipelines in private cloud environments such as Google Cloud, AWS, or Azure.
- Experience designing data solutions for marketing, advertising, or customer analytics, including Google Marketing Platform integrations and vendor APIs.
- Strong software engineering and computer science fundamentals, with proficiency in Python and SQL.
- Experience with Google Cloud, especially BigQuery, API integration, OAuth authentication, QA, and DevOps processes.
- Strong understanding of security, privacy, performance, and data quality in data pipelines.
- Experience mentoring technical colleagues or leading technical discussions, with strong written, verbal, and presentation skills.
Nice to have
- Experience with Snowflake, Databricks, or dbt.
- Experience deploying AI solutions in cloud environments, especially Gemini.
- Experience with Kotlin/JVM or JavaScript in addition to Python.
- Google Cloud Professional certifications in data engineering, cloud databases, or machine learning.
Culture & Benefits
- Remote work from Canada with a people-first and transparent environment.
- Growth opportunities in a growing organization working with leading brands.
- Employee Resource Groups, DEI initiatives, and altruism efforts.
- Accessibility accommodations are available throughout the selection process.
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