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7 дней назад

Principal Data Architect (GCP)

195 000 - 270 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Data Architect (GCP): Lead the architecture and implementation of scalable Data Lakehouse platforms on Google Cloud with an accent on BigQuery, data ingestion, governance, security, and performance. Focus on designing real-time and batch pipelines, guiding client solution decisions, and balancing strategic architecture with hands-on troubleshooting and technical leadership.

Location: Remote

Salary: $195,000–$270,000 per year

Company

hirify.global is a fast-growing engineering and technology company that helps clients use Google Cloud, Salesforce, and data platforms to drive business impact.

What you will do

  • Lead the architecture, design, and implementation of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, BigLake, and Dataplex.
  • Translate customer business goals, data challenges, and technical requirements into architectural blueprints and delivery plans.
  • Design real-time and batch data ingestion pipelines with orchestration and streaming frameworks.
  • Establish practices for data cataloging, metadata, lineage, data quality, security, access control, and governance.
  • Serve as technical lead for project teams by mentoring engineers, reviewing solutions, and ensuring architectural consistency.
  • Advise clients and stakeholders on trade-offs, scalability, solution adoption, and long-term maintainability while contributing to POCs, pipeline work, and performance tuning.

Requirements

  • 8–10 years of progressive experience in software engineering and data platform development, including 5+ years architecting data platforms on GCP and/or Databricks.
  • Hands-on experience designing and deploying Data Lakehouse platforms, data products, and medallion architectures.
  • Strong knowledge of real-time and batch ingestion, ETL/ELT pipeline design, and orchestration with tools such as Airflow and Pub/Sub.
  • Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
  • Experience with data governance, security, and cataloging solutions such as Dataplex, Data Catalog, and IAM.
  • Excellent communication and presentation skills, with the ability to lead mixed teams and engage technical and non-technical stakeholders.

Nice to have

  • Experience with Databricks, Delta Lake, Unity Catalog, and hybrid GCP–Databricks architectures.
  • Curiosity to explore new technologies and the ability to move between architecture discussions and code-level troubleshooting.

Culture & Benefits

  • Remote work environment.
  • Health insurance and paid vacation, holidays, and sick leave.
  • Parental and bereavement leave.
  • 401(k) employer match.
  • Employee referral bonuses.
  • Standard hiring verification may include background and employment checks; AI tools may support parts of the hiring process, with final decisions made by people.

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