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Principal Data Architect (GCP)

180 000 - 250 000$
Формат работы
hybrid
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/Data Lakehouse): Leading the architecture and implementation of scalable Data Lakehouse solutions on Google Cloud using BigQuery, GCS, BigLake, and Dataplex with an accent on real-time and batch data pipelines, governance, security, and performance. Focus on designing medallion architectures, mentoring delivery teams, guiding client solution decisions, and solving complex data platform and pipeline challenges.

Location: Nashville, TN; hybrid workplace

Salary: $180,000–$250,000 per year, plus an annual bonus and benefits.

Company

hirify.global is a fast-growing, data-first engineering and technology company helping clients use Google Cloud, Salesforce, and data insights to drive business impact.

What you will do

  • Lead end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, BigLake, and Dataplex.
  • Work directly with clients to understand business and technical requirements and translate them into architectural blueprints and delivery plans.
  • Design real-time and batch ingestion pipelines using modern orchestration and streaming frameworks.
  • Establish data cataloging, metadata, lineage, data quality, security, access control, and governance practices.
  • Act as technical lead for project teams by mentoring engineers, reviewing solutions, and maintaining architectural consistency.
  • Combine strategic architecture work with hands-on POCs, pipeline deep dives, performance tuning, and client advisory.

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 with data products and medallion architectures.
  • Strong knowledge of real-time and batch ingestion, ETL/ELT pipeline design, and orchestration with Airflow, Pub/Sub, or similar frameworks.
  • Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
  • Experience implementing data governance, security, and cataloging solutions such as Dataplex, Data Catalog, IAM, or equivalent.
  • Excellent communication and presentation skills for engaging technical and non-technical stakeholders and guiding solution decisions.
  • Ability to lead mixed teams of engineers, analysts, and architects while balancing architectural vision with hands-on delivery.
  • Strong problem-solving mindset, curiosity about new technologies, and ability to work at both architecture and code-troubleshooting levels.

Nice to have

  • Experience with Databricks, Delta Lake, Unity Catalog, and hybrid GCP–Databricks data architectures.

Culture & Benefits

  • Data-first, entrepreneurial environment focused on learning, innovation, and solving complex problems.
  • Comprehensive health insurance, paid vacation/PTO, paid holidays, sick leave, parental leave, and bereavement leave.
  • 401(k) employer match and employee referral bonuses.
  • Standard hiring verification may include background and employment checks.
  • Equal opportunity employer with reasonable accommodations available throughout the selection process.

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